「台北大學」『問題解決之「研究方法」(Research Methods for Problems- Solving)』
本學期(2014 年 9 月 15 日(星期一)起)正常每週上課時間
各位老師、同學們大家好!
為母校服務，提昇台北大學之研究能量與畢業生工作能力，本校講座教授曾國雄於「都市計劃研究所」親自開
授『問題解決之「研究方法」(Research Methods for Problems- Solving)』(學生若需此「學分」幫助就業或繼
續進修者歡迎「選修」此課程)，供全校對本課程有興趣者之師生歡迎加入共同一起研究與學習，母校「台北
大學」每學期開放師生提供正常每週授課時間講授 (曾國雄台北大學講座教授、亦為交通大學終身講座教授、
第四屆國家講座、國科會傑出研究奨三次、國科會特約研究員兩次、暨國科會傑出特約研究員獎，MCDM
Edgeworth- Pareto Award 等獎)；參加對象為自由開放校內外有意願學習者「奠定研究基礎」之教師與碩博士
班研究生(含培育大學部三四年級特優學生及對研究有興趣者)為原則。上課內容之初會將『「問題解決
(Problems-Solving)」之傳統至最新及未來可能發展的「研究方法(Research Methods)」』，如 Hybrid MCDM
model (MADM: DEMATEL technique, DANP, VIKOR/GRA, Super-additive/Non-additive method (fuzzy
integral, etc.))與 MODM: Changeable spaces (Decision Space and Objective Space) programming，以及『如何
投稿 SSCI/SCI 論文之投稿技巧與要點』加以深入淺出的介紹，及其他相關基礎課程之教學分享，爾後本研究
室團隊教師及助理群協助【個案討論】或【計算方法】或【軟體操作】等方式，針對各研究方法進行深入淺出
之探討與實例操作，並以實例說明(如以曾國雄教授實際在 SSCI/SCI 期刊刊出之論文為例)，以帶動母校台北
大學學術研究風氣與提昇研究能量。含如「新混合式動態多評準決策模型(New Hybrid Dynamic MCDM Model)」
等之研究方法一開始若聽不懂不必擔心，不用怕，還是聽下去，多聽幾次！自然就會了!老師與同學們會在課
堂中分享新的個案議題，而課堂中所分享的個案議題可以做為文章的「故事(實證案例)」，找題目實做(個案分
析為以【「故事個案(Story Case)實務」+「解決問題之研究方法」  結果表達(含「寫的技巧(Writing Skill)」
與「講的技巧( Speech Skill)」)，重點在於邏輯之思考與推理】)，改變學習方式，一直做下去，試著投稿(若開
始投稿失敗亦不必灰心，此為成功的經驗)，逐漸就會有一系列 SSCI/SCI 的研究成果(大學部或碩士班學生亦
不例外)，並可提昇「研究、工作、或就業」的能力；如果欲達到此研究能量之成果，「天下沒有白吃的午餐」，
只要耐心學習，要踏實，一步一步的達成，相信成果必能「事半功百倍」。
◎『問題解決之「研究方法」』開課時間與地點：
台北大學：星期一下午 1:00pm~4:00pm
開課地點：台北大學公共事務學院六樓 630 教室，新北市三峽區大學路 151 號
交通大學：星期五 下午 1:30~4:30
開課地點：交通大學綜合一館 701 教室(七樓)，新竹市大學路 1001 號
聯絡人：黃三麟 台北大學都市計畫研究所博士生 e-mail: samlin0668@gmail.com,
Tel: 0922334176,
研究群：黃啟祐 台灣師範大學教授
cyhuang66@ntnu.edu.tw
劉建浩 台北科技大學教授
jamesjhliou@gmail.com
劉 翠 華 開南大學副教授
liu32lee@mail.knu.edu.tw
黃日鉦 東吳大學副教授
沈高毅 文化大學助理教授
stee.huang@gmail.com
atrategy@gmail.com
胡曙光 開南大學助理教授
syokou@mail.knu.edu.tw
盧明滄博士 商研院研究員 mingtsang.lu@gmail.com
俞建州 台灣科技大學博士候選人 d9516922@mail.ntust.edu.tw
崔哲偉 清華大學博士候選人 wayne0725@gmail.com
Website: Gwo-Hshiung Tzeng
Google scholar
http://scholar.google.com/citations?user=ZRXOrvQAAAAJ&hl=en
http://scholar.google.com/citations?hl=en&user=ZRXOrvQAAAAJ
ResearcherID:B-2775-2009
http://www.researcherid.com/ProfileView.action?SID=T1HMP6cOccIg2h%408NpB&returnCode=ROUTER.Success
&queryString=KG0UuZjN5Wmoqel%252FxJNhx6xuCEyd13xKKt6gZHrVzT8%253D&SrcApp=CR&Init=Yes
science watch
http://archive.sciencewatch.com/dr/erf/2009/09aprerf/09aprerfOpriET/
Curriculum Vitae
傑出講座教授-曾國雄教授介紹(此網站在「開南大學」
，但已超過半年未更新，將來若在「台北大學」設網站時會隨
時更新個人期刊發表、活動等資料)
http://www.knu.edu.tw/Distinguished/
曾教授近五年來研究於全球之最大貢獻在 Technological and Economic Development of Economy, 18(4): 672-695, 2012
(SSCI, IF: 5.605, 2011; IF: 3.235, 2012) 刊出五項曾教授在 MCDM 領域為「解決實際問題」最重要之新觀念，此為全球上最
大之貢獻擇錄如下:Tzeng proposed several important new concepts and trends in the MCDM field for solving actual problems.
First, the traditional model assumes the criteria are independently and hierarchically structured; however, in reality, problems are
often characterized by interdependent criteria and dimensions and may even exhibit feedback-like effects. Second, relatively good
solutions from the existing alternatives are replaced by aspiration levels to fit today’s competitive markets. Third, the emphasis in
the field has shifted from ranking and selection when determining the most preferable approaches to performance improvement
of existing methods. Fourth, information fusion techniques, including the fuzzy integral method, have been developed to aggregate
the performances (non-additive/super-additive model). Finally, the original fixed resources in multi-objective programming are
divided such that both decision and objective spaces are changeable (changeable spaces).該篇論文經六位審查委員審查通過刊
登，摘要如下：
Liou, James J.H. and Tzeng, G.H. (Corresponding author) (2012), Comments on "Multiple criteria decision making (MCDM)
methods in economics: An overview", Technological and Economic Development of Economy, 18(4), 672-695.
Abstract. This paper offers comments on a previously published paper, titled “Multiple criteria decision making (MCDM) methods
in economics: an overview,” by Zavadskas and Turskis (2011). The paper’s authors made great efforts to summarize MCDM methods
but may have failed to consider several important new concepts and trends in the MCDM field for solving actual problems. First,
the traditional model assumes the criteria are independently and hierarchically structured; however, in reality, problems are often
characterized by interdependent criteria and dimensions and may even exhibit feedback-like effects. Second, relatively good
solutions from the existing alternatives are replaced by aspiration levels to fit today’s competitive markets. Third, the emphasis in
the field has shifted from ranking and selection when determining the most preferable approaches to performance improvement
of existing methods. Fourth, information fusion techniques, including the fuzzy integral method, have been developed to aggregate
the performances. Finally, the original fixed resources in multi-objective programming are divided such that both decision and
objective spaces are changeable. In this paper, we add new concepts and provide comments that could be thought of as an attempt
to complete the original paper.
另三篇此相關之觀念分別為 MADM 與 MODM 亦在或將在兩重要期刊刊出:
Kua-Hsin Peng, Gwo-Hshiung Tzeng (Corresponding author) (2013), A hybrid dynamic MADM model for problems-improvement
in economics and business, Technological and Economic Development of Economy, 19(4), 638-660 (SSCI, IF: 5.605, 2011; IF:
3.235, 2012).
James J.H. Liou, Yen-Ching Chuang, Gwo-Hshiung Tzeng (Corresponding author) (2013) “A fuzzy integral-based model for supplier
evaluation and improvement, Information Sciences (In Press, Corrected Proof, Available online 3 October 2013, IF: 3.643, 5Year Impact Factor: 3.676, 2012).
Jih-Jeng Huang, Gwo-Hshiung Tzeng (Corresponding author) (2013), New thinking of multi-objective programming with
changeable space - In search of excellence, Technological and Economic Development of Economy, Accepted (SSCI, IF: 5.605,
2011; IF: 3.235, 2012).
本 New Hybrid MCDM model 發展之動機、目的與貢獻在於提出：(1)「解決傳統『經濟與統計脫離現實(Economics and
Statistics are unrealistic in the real world)』之問題, DEMATEL technique」
，(2)「避免「由『爛蘋果中找出最好的蘋果(Pick the
best apple among a barrel of rotten apples)，VIKOR method』」
，(3)「避免『頭痛醫頭腳痛醫腳(We need a systematic approach
to problem-solving; instead of addressing the symptoms of the problem, we need to identify the sources of the problem)，
influential network relation map (INRM)』」，(4) 「為解決『實際社會存在非(超)加法型問題(Solving non-additive (superadditive) problems in the real world)，解決如 1 加 1 大於 2 之實務問題』」
，(5) 「改變解決『傳統多目標規劃問題在考慮
資源限制條件(決策空間)下，找出目標空間最佳化之柏拉圖解(Parero Optimal)，成為「解可變空間(含決策空間(Decision
Space)與目標空間(Objective Space)」
，如何設計「資源空間」使「目標空間」可達到「渴望水準(Aspiration Level)」呢？』」
。
具有此創新性之貢獻，該期刊Technological and Economic Development of Economy主編於2013年「曾國雄講座教授恰滿
70歲」時特邀請劉建浩(Liou, James J.H.)教授寫一篇“New concepts and trends of MCDM for tomorrow – in honor of
Professor Gwo-Hshiung Tzeng on the occasion of his 70th birthday”於Technological and Economic Development of
Economy 19(2), 367-375, 2013專刊刊出(前兩頁如下)。
並在國際著名書商 CRC Press, Taylor & Francis Group 出版兩本新書 Two New Books, New Concepts and Trends of MCDM for
Tomorrow in Solving Actual Problems (最近在許多國際會議被邀請 Tutorial 或 Keynote Speaker，以及許多國際名校被邀請
短期授課):
Multiple Attribute Decision Making: Methods and Applications
By Gwo-Hshiung Tzeng & Jih-Jeng Huang (2011), CRC Press, Taylor & Francis Group,
A Chapman & Hall Book.
Part I Concepts and Theory of MADM
Analytic Hierarchy Process; Analytic Network Process and Fuzzy Analytic Network Process; Simple
Additive Weighting Method; TOPSIS and VIKOR; ELECTRE Method; PROMETHEE Method; Gray
Relational Model; Fuzzy Integral Technique; Rough Sets; Structural Model (Interpretive Structural
Modeling (ISM) Method, DEMATEL Method, Fuzzy Cognition Maps).
Part II Applications of MADM
AHP: An Application; VIKOR Technique with Applications Based on DEMATEL and ANP; TOPSIS and
VIKOR: An Application; ELECTRE: An Application; PROMETHEE: An Application; Fuzzy Integral and
Gray Relation: An Application; Fuzzy Integral: An Application; Rough Sets: An Application.
Fuzzy Multiple Objective Decision Making
By Gwo-Hshiung Tzeng & Jih-Jeng Huang (2013), CRC Press, Taylor & Francis
Group, A Chapman & Hall Book.
Section I Concepts and Theory of Multi-Objective Decision Making
Multi-Objective Evolutionary Algorithms; Goal Programming; Compromise Solution and
TOPSIS; De Novo Programming and Changeable Parameters (including Decision Space and
Objective Space, called Changeable Spaces); Multi-Stage Programming; Multi-Level MultiObjective Programming; Data Envelopment Analysis.
Section II Applications of Multi-Objective Decision Making
Motivation and Resource Allocation for Strategic Alliances; Choosing Best Alliance Partners and
Allocating Optimal Alliance Resources Using Fuzzy Multi-Objective Dummy Programming Model; Multi-Objective Planning for
Supply Chain Production and Distribution Mode: Bicycle Manufacturer; Fuzzy interdependent Multi-Objective Programming;
Novel Algorithm for Uncertain Portfolio Selection; Multi-objective Optimal Planning for Designing Relief Delivery Systems;
Comparative Productivity Efficiency for Global Telecoms; Fuzzy Multiple Objective Programming in Interval Piecewise
Regression Model.
該兩本新書包含如下期刊之觀念：
Liou, James J.H. and Tzeng, G.H. (Corresponding author) (2012), Comments on "Multiple criteria decision making
(MCDM) methods in economics: An overview", Technological and Economic Development of Economy, 18(4), 672695.
本 New Hybrid MCDM model 發展之動機、目的與貢獻在於提出：(1)解決傳統『經濟與統計脫離現實(Economics and
Statistics are unrealistic in the real world)』之問題, 以 DEMATEL technique 求出各「層面/準則」之影響關聯矩陣
(Influence Relation Matrix)，建立「影響網路關聯圖(Influential Network Relation Map, INRM)；(2)「避免「由『爛
蘋果中找出最好的蘋果 (Pick the best apple among a barrel of rotten apples)，設定「渴望水準(aspiration level)」，
modified VIKOR method』
」
；(3)「避免『頭痛醫頭腳痛醫腳，根據以 DEMATEL technique 之「影響網路關聯圖(Influential
Network Relation Map, INRM)，建立整體性之系統改善策略 (We need a systematic approach to problem-solving;
instead of addressing the symptoms of the problem, to build a total system improvement strategies, we need to identify
the sources of the problem), influential network relation map (INRM) by DEMATEL technique』
」，以使各準則、層面、
整體皆能達成「渴望水準(aspiration level)」
；(4) 「為解決『實際社會存在非(超)加法型問題(Solving non-additive (superadditive) problems in the real world)，解決如 1 加 1 大於 2 之實務問題』」
，(5) 「改變解決『傳統多目標規劃問題在考慮
資源限制條件(決策空間)下，找出目標空間最佳化之柏拉圖解(Parero Optimal)，成為「解可變空間(含決策空間(Decision
Space)與目標空間(Objective Space)」
，如何設計「資源空間」使「目標空間」可達到「渴望水準(Aspiration Level)」呢？』」
。
Fig. Basic new concept of changeable spaces (decision space and objective space) for MODM
曾國雄傑出講座教授近年來帶領他的研究團隊在解決實際問題之多評準決策領域中提出五大重要的新概念與
趨勢之一系列 SSCI/SCI 期刊論文，最近兩年每年被引用次數在學術 Google Scholar: 2011 (1531 次), 2012 (2254
次)，總共已超過 1 萬 1 千次以上，其新概念與趨勢列如下：(1)傳統的模型假設各準則為獨立性之分層結構，
然而，在現實中，各準則之間存在的問題往往是相互關聯性，甚至可能出現回饋性，他提出解決衡量此相互關
聯性與回饋性之影響網路關係的新方法，此可以解決傳統「經濟學與統計學脫離現實的問題」
；(2)他提出各方
案如何可達到「渇望水準(aspiration level)」的解決方法來替代傳統僅能找出相對較好的解決方案，此方法可以
適應解決當今激烈競爭的市場，以避免「由一堆爛蘋果中，找出當中最好的蘋果」
；(3)傳統多準則評估只在處
理各方案之「排序與選擇(ranking and selection)」問題，他提出如何結合 DEMATEL 法之影響網路關係圖
(influential network relation map, INRM)找出各方案如何以整體系統之「改善(improvement)方式，或改善策略」
，
可使各準則之績效值皆能提升，使整體系統能達到「渇望水準(aspiration level)」
，以避免「腳痛醫腳，頭痛醫
頭」的解決方式；(4)在實際社會問題上，資訊融合之績效整合方法，一般是「非(超)加法模型(non-additive/nonsuper-additive model)」
，包含如模糊積分等，1970 年代 Daniel Kahneman 之消費者效用行為實驗結果指出「人
類的行為皆不符合加法型」
，prospect theory (2002 經濟學 Nobel Prize) ；(5)傳統多目標之數學規劃，常在固定
資源限制條件下(決策空間)，找出多目標 Pareto 最適解(目標空間)，實際問題上，「決策空間」與「目標空間」
都可變的，曾傑出講座教授以不同的思考方式，決策者為追求「渇望水準(aspiration level)」的情況下(目標空間
可變)，如何改變「決策空間」呢？如何在人力資源擴展能力集合呢？如何提昇效率改變限制條件之參變數呢？
依此理念提出「可變空間(含「決策空間」與「目標空間」都可變的)」之多目標規劃法。此劃時代新觀念，未
來「研究方法之趨勢如何鬆解傳統之假設/假說，使之更符合解決複雜之實務問題」
，見解創新，近年來所發展
出「新混合式 MCDM 模型」之新方法，為具劃時代學術與實用之價值。
H.A. Simon (1978 Nobel Prize in Economic Science, Nobel Laureate) - Decision and organization, 1972 innovbfa.viabloga.com ... The Scottish word "satisficing" (=satisfying) has been revived to denote problem solving
and decision making that sets an aspiration level, searches until an alter- native is found that is satisfactory by the
aspiration level criterion, and selects that alternative (Simon, 1957).
Fig.1 The concept of changeable decision space and aspiration level
Fig. 2 Basic concept of changeable decision space and aspiration level (Liou, Tzeng 2012)
Data Processing/Statistical and
Multivariate Analysis
Planning/Designing
Evaluating/Choosing
MODM
Normative Models
Perception/
feeling
Personal/ Social Attribute
Explorative
Model
Future
Prospecting /
Forecasting
Data
Processing /
Analysis
Data
Investigating/
Collecting
Data Sets:
Crisp Sets
Fuzzy Sets
Grey Hazy Sets
Rough Sets
MADM
Goal
Response/
Kansei
Objects (Internal Real
Situations): features/
attributes/criteria/
objectives/variables
- ISM, Fuzzy ISM
- DEMATEL, Fuzzy DEMATEL
- Fuzzy Cognitive Map (FCM)
- Formal Concept Analysis
- Linear Structure Equation Model
(LISEM, or called “SEM”)
- Input-Output Analysis
MCDM
External Environment- ex. Business Governance
Regression/ Fuzzy Regression
ARIMA
Grey Forecasting
Bayesian Regression
MODM (GP, MOP,
Compromise
Solution, etc.)
+
Single Level
+
Fuzzy
+
Multi-level
+
Multi-stage
+
Dynamics
+
Habitual Domain
Dimensions
Criteria
Policy
Strategic
alternative
s
a1
ak
Performance
Matrix
(crisp/fuzzy)
am
Normalizing
Weighting
AHP / Fuzzy AHP
ANP / Fuzzy ANP
DANP / Fuzzy DANP
Entropy Measure
Dynamic Weighting
Neural Network Weighting
Aspiration Level
Additive Types
SAW
TOPSIS
VIKOR
PROMETHEE
ELECTRE
Grey Relation
De Novo Programming
(Including Fuzzy)
Statistical/ Multivariate Analysis
Fuzzy Statistical/ Multivariate Analysis
Data Mining
Genetic Algorithms
Neural Networks
Logic Reasoning
C1 . . . Cj . . . Cn
w1 . . . wj . . . wn
Changeable Spaces
Programming
(Decision Space and
Objective Space)
Non- Additive Types
Fuzzy Integral
Neural Network + Fuzzy
- DEA
- Fuzzy DEA
- Network DEA
- MOP DEA
- Fuzzy MOP DEA
- MOP Network DEA
Fig. 3 Basic Concepts of Course System
Data-Mining for
ProblemSolvingg
Multi-Dimensions
Multi-Features
Multi-Attributes
Multi-Criteria
Data Set:
Crisp Sets
Fuzzy Sets
Rough Sets
Grey Hazy Sets
1. Statistical Analysis
-Factor Analysis (FA)
-Principal Component Analysis (PCA)
-Multi-dimensional Scaling (MDS)
Cluster Analysis
-Similarity
-Dissimilarity
-C-mean…
Discriminant Analysis
-Conjoint analysis
-Logit model
2. Evolutionary Computation
-Artificial Neural Network
-Genetic Algorithms (GA)
-Particle Swarm Optimization (PSO)
-Genetic Programming (GP)
-Support Vector Machine (SVM)
-DNA Algorithms
Classification Analysis
-Pattern feature maps
Identification
-pattern
-Recognition
Partitions
-Logit rule (if-then rule)
Identification
-Logit Pattern
-Recognition
3. Fuzzy Logit / Reasoning
-Rough Set Theory
-Dominance-based Rough Set
Approach
Knowledge Discovery for
Expanding Competence
Set
Customer or social needs
Marketing
/ service
Idea
MCDM
Knowledge-based
Marketing
Knowledge-based
Technology
Knowledge-based
Innovation /Creativity
Value Function
Innovation / Creativity
Technology
R&D
ValueCreate
d
Knowledge
Economy
Production or
Service Provider
Fig.4 Data Mining Concepts of Intelligent Computation in Knowledge Economy
Utility
(Bernoulli, 1738)
Human pursue ? Max Utility
Theory of Games and Economic Behavior
(von Neumann & Morgenstern, 1947)
Choquet Integral
(Choquet, 1953)
Fuzzy Set
(Zadeh, 1965)
DM in fuzzy
environment
(Bellman &
Zadeh, 1970)
ELECTRE methods
(Benayoun et al., 1966;
Roy, 1968)
Zero-sum Game
(Nash, 1951)
ELECTRE I
(Roy,1971)
Fuzzy Integral Evaluation
(Sugeno, 1974)
AHP
(Saaty, 1971)
MADM
(Keeney, 1972; 1976)
ELECTRE II
(Roy,1976)
Fuzzy
Fuzzy
Fuzzy
Habitual Domain
(Yu, 1980)
ELECTRE III
(Roy & Vincke,
1981)
TOPSIS
(Hwang, 1981)
Grey
(Deng,1982)
Rough Sets Theory (RST)
(Pawlak, 1982)
FMADM
(Sakawa et al., 1985)
PROMETHEE
I, II, III, IV
(Brans et al., 1984)
Fuzzy
Dynamic Weights
AHP
(Saaty, 1992)
ELECTRE IV
(Roy, 1991; Figueira et
al. 2005)
Grey relation
MADM
Fuzzy Measure+Habitual Domain
for MADM
(Chen and Tzeng, 1997)
Dynamic Weights with
Habitual Domain
(Tzeng et al., 1997)
Rough Set MADM
Pawlak & Slowinski,1994
Fuzzy neural network
Dynamic MADM
(Hashiyama et al., 1995)
Non-independent ANP
(Saaty, 1996)
RST for MCDA
(Greco et al., 2001)
Combined DEMATEL/ISM with ANP
based on Network Relationship Map
(NRM)
(Tzeng et al., 2007)
New hybrid MCDM with dynamics based on
DEMATEL/ISM of building NRM for evaluating,
improving, and choosing the best alternatives/strategies
to reduce gaps and achieve win-win aspired/desired
levels by multi-stage dynamic concepts
(Tzeng et al., 2007, 2010; Tzeng & Huang, 2012b)
TOPSIS for MODM
(Hwang et al., 1994)
VIKOR
(Opricovic, 1998;
Opricovic & Tzeng,
2002)
Dominance-based Rough
Set Approach (DRSA)
(Greco et al., 2010)
Combined DEMATEL/ISM with a hybrid
MCDM based on (NRM),
Independence by AHP, dependence and feedback
by ANP and DANP
(DEMATEL-based ANP) inter-relationship by
fuzzy integral
(Liu et al., 2012a; Yang & Tzeng, 2011)
A new Modifed VIKOR
Technique for improving
alternatives/strategies to reduce gaps
(Ou Yang et al., 2009; Liou et al.,
2011)
Fig.5 Development of Multiple Attribute Decision Making
Vector
Optimization
(Kuhn-Tucker, 1951)
(Koopmans, 1951)


Fuzzy Sets
max/ min
s.t.
[ f 1 ( x),..., f k ( x)]
Ax  b
x0
(Zadeh, 1965)



DM in fuzzy environment
(Bellman & Zadeh, 1970)
ε-constraints
weighting (parameter) method
SWT (Surrogate Worth
Trade-off) method
(Hamies & Hall, 1974)
STEP (Benayoun et al, 1971)
Preference programming
Goal Programming
(Charnes et al., 1955)
Compromise solution
(Yu, 1971; Yu & Zeleny, 1972)
Data Envelopment Analysis, DEA
(Charnes et al., 1978)
Fuzzy Multiobjective
Programming
Habitual Domain (HD)
Multistage Multiobjective
(Yu, 1980)
(Zimmermann, 1978;
Sakawa etc. 1980)
TRIMAP
(Climaco &
Antunes, 1987)
Multiple Criteria
Multiple Constraints
Level (MC2)
(Yu & Seiford, 1979)
Two-level Multiobjective
Multi-level Multiobjective
De Novo
Programming
(Zeleny,1986)
Coalition
Grey Theory
(Deng,1982)
Fuzzy + HD
Multiobjective Game
(Sakawa & Nishizaki, 1992)
Some trends after 1990s (Combined models)
GA in search, Opt. and Machine Learning
(Goldberg, 1989)
GA + Data Structure = Evolutionary Programming
(Michalewicz & Schoenauer, 1992, 1994, 1996)
Fuzzy Combinatorial MODM with GA
(Sakawa et al., 1994)
Fuzzy MC2
(Shi & Liu,
1993)
Fuzzy De Novo
(Lee etc., 1990s)
TOPSIS for MODM
(Hwang et al., 1994)
Fuzzy DEA
(Kahraman 1998;
Guo & Tanaka, 2001)
Fuzzy Mltiobjective for DEA
(Chiang & Tzeng, 2000)
Network DEA (Fare & Grosskopt, 2000)
Multiobjective Optimal With Linguistic Logic Model
(Carlson & Fuller, 2002)
GA for MODM
(Deb et al., 2002)
Best Alliance/Coalition through De Novo Programming
(Huang et al., 2005, 2006)
Fuzzy + HD + Dynamic + Multistage + Multi-level Multi-objective Decision Making
(Yu & Chen, 2010, Concepts on changeable space)
In the Future
Changeable space (Decision Space and
Objective Space) for De Novo MOP to
improve decision-space for achieving
aspiration level in objective-space
(Tzeng & Huang, 2012b)
Fig. 6 Development of multiple objective decision-making
Google Scholar
Gwo-Hshiung Tzeng
Distinguished Chair Professor
Research methods for problems-solving: Data Analysis (crisp sets, fuzzy set theory, rough set theory -> statistics and
multivariate analysis, evolutionary computation, soft computing, etc.), multiple criteria decision making (MADM and
MODM), and so on for applications in the real world problems
Citation indices
Citations
h-index
i10-index
All
Since 2009
12912
60
175
10170
52
157
Citations to my articles
September 11, 2014: 2009 (1049 times), 2010
(1262 times), 2011 (1688 times), 2012 (2117
times), 2013 (2421 times), 2014 (1620 times).
http://scholar.google.com/citations?user=ZRXOrvQAAAAJ&hl=en
Gwo-Hshiung Tzeng & Jih-Jeng Huang (2011), Multiple Attribute
Decision Making: Methods and Applications, CRC Press, Taylor &
Francis Group, A Chapman & Hall Book. (1)
New Book 
Gwo-Hshiung Tzeng & Jih-Jeng Huang (2013), Fuzzy Multiple
Objective Decision Making, CRC Press, Taylor & Francis Group, A
Chapman & Hall Book.
New Book 
Elsevier
Science Direct
http://www.sciencedirect.com/
121 articles found for: AUTHORS "Gwo-Hshiung Tzeng" or "Gwo-Hsiung Tzeng" or "Gwo-Hshing Tzeng" or "Gwo-Hsiung
[Reference to Tzeng]"
A. Referred Papers
2014
Shu-Kung Hu, Ming-Tsang Lu, Gwo-Hshiung Tzeng (Corresponding author) (2014) Exploring smart phone
improvements based on a hybrid MCDM model, Expert Systems With Applications, Volume 41, Issue 9,
July 2014, Pages 4401-4413 (SCI, IF: 1.854, 2.339 (5-years, 2012).
Chih-Hung Wu*, Yi-Lin Tzeng, Bor-Chen Kuo, Gwo-Hshiung Tzeng (2014), Affective Computing Techniques
for Developing a Human Affective Norm Recognition System for U-learning Systems, International
Journal of Mobile Learning and Organisation (IJMLO), 8(1): 50-66.
Jih-Jeng Huang, Gwo-Hshiung Tzeng (2014), New thinking of multi-objective programming with changeable
spaces - In search of excellence, Technological and Economic Development of Economy (Accepted, SSCI,
IF: 5.605, 2011; IF: 3.235, 2012).
Kao-Yi Shen, Min-Ren Yan, and Gwo-Hshiung Tzeng (Corresponding author) (2014), Combining VIKOR-DANP
model for glamor stock selection and stock performance improvement, Knowledge-Based Systems,
Volume 58, March 2014, Pages 86-97 (SCI, IF: 4.104, 3.371 (5-years, 2012).
James J.H. Liou, Yen-Ching Chuang, Gwo-Hshiung Tzeng (Corresponding author) (2014) A fuzzy integralbased model for supplier evaluation and improvement. Information Sciences, Volume 266, 10 May 2014,
Pages 199–217 (Impact factor: 3.643, 5-Year Impact Factor: 3.676, 2012; SNIP: 3.425, 2013).
Yu-Chien Ko, Hamido Fujita, Gwo-Hshiung Tzeng (2014), A simple utility function with the rules-verified
weights for analyzing the top competitiveness of WCY 2012, Knowledge-Based Systems, Volume 58,
March 2014, Pages 58-65 (SCI, IF: 4.104, 3.371 (5-years, 2012).
Wan-Yu Chiu, Gwo-Hshiung Tzeng, Han-Lin Li (2014). Developing e-store marketing strategies to satisfy
customers’ needs using a new hybrid grey relational model, International Journal of Information
Technology & Decision Making, Vol. 13, No. 2 (2014) 231–261.
Fu-Kwun Wang, Chen-Hsoung Hsu, and Gwo-Hshiung Tzeng (2014). Applying a Hybrid MCDM Model for Six
Sigma Project Selection, Mathematical Problems in Engineering (Accepted, SCI, impact factor: 1.383).
Fu-Hsiang Chen, Gwo-Hshiung Tzeng (2014). Probing Organization Performance Using a new Hybrid Dynamic
MCDM Method Based on the Balanced Scorecard Approach, Journal of Testing and Evaluation (Accepted,
SSCI, IF: 0.384, 2013)
Kao-Yi Shen, and Gwo-Hshiung Tzeng (2014). DRSA-based Neuro-Fuzzy Inference Systems for the Financial
Performance Prediction of Commercial Bank, International Journal of Fuzzy Systems, 16(2), 173-183 (SCI,
IF: 1.506, 2012).
Ming-Tsang Lu, Gwo- Hshiung Tzeng, Hilary Cheng, Chih-Cheng Hsu (2014). Exploring Mobile Banking
Services for User Behavior in Intention Adoption: Using New Hybrid MADM Model, Service Business
(Accepted, SSCI, IF: 0.571, 2012). DOI: 10.1007/s11628-014-0239-9
Ming-Tsang Lu, Gwo- Hshiung Tzeng, Shu-Kung Hu (2014). Evaluating the implementation of businessto-business m-commerce by SMEs based on a new hybrid MADM model, Management Decision
(Accepted, SSCI, IF: 3.787, 2012).
Kuang-Hua Hu, Fu-Hsiang Chen, Gwo-Hshiung Tzeng, Jinn-De Lee (2014). Improving Corporate Governance
Effects on an Enterprise Crisis Based on a New Hybrid DEMATEL with the MADM Model, Journal of Testing
and Evaluation (Accepted, SSCI, IF: 0.384, 2013).
Kao-Yi Shen and Gwo-Hshiung Tzeng (2014). A decision rule-based soft computing model for diagnosing
financial performance-improvement of commercial banks, Soft Computing, Accepted (SCI, 2012 Impact
Factor; 1.124).
Andy, L., Lee, R.Y., and Tzeng, G.H. (2014). Characteristic of professional SCUBA dive guide. Tourism in Marine
Environment, 10(1/2) (In press).
2013
Yu-Chien Ko, Hamido Fujita, Gwo-Hshiung Tzeng (Corresponding author) (2013), An extended fuzzy measure
on competitiveness correlation based on WCY 2011, Knowledge-Based Systems, Volume 37, January
2013, Pages 86-93 (SCI, IF: 4.104, 3.371 (5-years, 2012).
Wan-Yu Chiu, Gwo-Hshiung Tzeng (Corresponding author), Han-Lin Li (2013), A new hybrid MCDM model
combining DANP with VIKOR to improve e-store business, Knowledge-Based Systems, Volume 37,
January 2013, Pages 48-61
(SCI, IF: 4.104, 3.371 (5-years, 2012)).
Jen-Wei Cheng, Wei-La Chiu, Gwo-Hshiung Tzeng (Corresponding author) (2013). Do impression
management tactics and/or supervisor–subordinate guanxi matter? Knowledge-Based Systems, Volume
40, March 2013, Pages 123-133 (SCI, IF: 4.104, 3.371 (5-years, 2012)).
Chui-Hua Liu, Gwo-Hshiung Tzeng, Ming-Huei Lee, Po-Yen Lee (2013). Improving metro–airport connection
service for tourism development: Using hybrid MCDM models, Tourism Management Perspectives,
Volume 6, April 2013, Pages 95-107.
Kua-Hsin Peng, Gwo-Hshiung Tzeng (Corresponding author) (2013), A hybrid dynamic MADM model for
problems-improvement in economics and business, Technological and Economic Development of
Economy, Volume 19(4): 638–660 (SSCI, IF: 5.605, 2011; IF: 3.235, 2012).
Hsuan-Shih Lee, Gwo-Hshiung Tzeng, Weichung Yeih, Yu-Jie Wang, Shing-Chih Yang (2013). Revised DEMATEL:
Resolving the Infeasibility of DEMATEL, Applied Mathematical Modelling, Volume 37, Issues 10–11, 1
June 2013, Pages 6746-6757 (SCI, IF: 1.706, 1.674 (5-years, 2012).
Liu, C.H., Tzeng , G.H. (Corresponding author), Lee, M.H. (2013), Strategies for improving cruise product sales
in the travel agency- using hybrid MCDM models, The Service Industry Journal, Volume 33, Issue 5, pages
542-563. (2010 Impact Factor: 1.071). DOI:10.1080/02642069.2011.614342
Yu-Chien Ko, Hamido Fujita, Gwo-Hshiung Tzeng (Corresponding author) (2013), A fuzzy integral fusion
approach in analyzing competitiveness patterns from WCY2010, Knowledge-Based Systems, Volume 49,
September 2013, Pages 1-9 (SCI, IF: 4.104, 3.371 (5-years, 2012)).
Ming-Tsang Lu, Shi-Woei Lin, Gwo-Hshiung Tzeng (Corresponding author) (2013), Improving RFID adoption in
Taiwan’s healthcare industry based on a DEMATEL technique with a hybrid MCDM model, Decision Support
Systems,Volume 56, December 2013, Pages 259-269 (Impact factor: 2.201, 5-Year Impact Factor: 3.037).
Toshimasa Ozaki, Kanna Miwa, Akihiro Itoh (Nagoya Gakuin University), Shin Sugiura, Eizo Kinoshita (Meijo
University), and Gwo-Hshiung Tzeng (Kainan University) (2013). Dissolution of Dilemma by Newly Defining
Criteria Matrix in ANP, Journal of the Operations Research Society of Japan, Vol. 56, No. 2, June 2013, pp.
93–110.
Ming-Tsang Lu, Gwo-Hshiung Tzeng (Corresponding author), Ling-Lang Tang (2013). Environmental Strategic
Orientations for Improving Green Innovation Performance in Fuzzy Environment - Using New Fuzzy Hybrid
MCDM Model. International Journal of Fuzzy Systems, Vol. 15, No. 3, September 2013, pp.297-316. SCI,
IF: 1.506, 2012).
Chih-Wen Ting, Jyun-Wei Huang, Ding-Shan Wang, Gwo-Hshiung Tzeng (2013). To identify or not to identify: A
weighted multidimensional scaling in identifying the similarities of e-shopping stores, African Journal of Business
Management, Volume 7, Issue 22, PP. 2206-2218.
2012
James J.H. Liou, Gwo-Hshiung Tzeng (Corresponding author) (2012), Comments on "Multiple criteria
decision making (MCDM) methods in economics: An overview", Technological and Economic
Development of Economy, 18(4), 672-695 (SSCI, IF: 5.605, 2011; IF: 3.235, 2012).
Chui-Hua Liu, Gwo-Hshiung Tzeng (Corresponding author), Ming-Huei Lee (2012), Improving tourism
policy implementation - the use of hybrid MCDM models, Tourism Management, Volume 33, Issue 2,
Pages 239-488 (April 2012) (SSCI, IF: 2.620, 3.415 (5-years), 2010)
Yung-Lan Wang, Gwo-Hshiung Tzeng (Corresponding author) (2012), Brand Marketing for Creating Brand
Value Based on a MCDM Model Combining DEMATEL with ANP and VIKOR Methods, Expert Systems with
Applications, Volume 39, Issue 5, April 2012, Pages 5600-5615 (SCI, IF: 2.908, 3.162 (5-years), 2009).
Ozaki, Toshimasa; Lo, Mei-Chen; Kinoshita, Eizo; Tzeng, Gwo-Hshiung (2012), Decision-making for the Best
Selection of Suppliers by Using Minor ANP, Journal of Intelligent Manufacturing (JIM), December 2012,
Volume 23, Issue 6, pp 2171-2178. (SCI, Impact Factor: 0.938, 2011)
Ming-Tsang Lu, Gwo-Hshiung Tzeng (Corresponding author), Ling-Lang Tang (2012). Environmental strategic
orientations for improving green innovation performance in the electronics industry – using fuzzy hybrid
MCDM model, International Journal of Fuzzy Systems (Accepted with minor revision, SCI, IF: 1.16, 2012)
Yu-Ping Ou Yang, How-Ming Shieh, Gwo-Hshiung Tzeng (2012), A VIKOR technique based on DEMATEL and
ANP for information security risk control assessment. Information Sciences, Volume 232, 20 May 2013,
Pages 482-500 (SCI, IF= 3.643, 3.676 (5-years), 2012)
Sheng-Kai Fang, Jhieh-Yu Shyng, Wen-Shiung Lee, Gwo-Hshiung Tzeng (Corresponding author) (2012).
Combined Data Mining techniques for exploring the preference of customers between financial
companies and agents based on TCA, Knowledge-Based Systems, 27, 137-151. (SCI, IF: 4.104, 3.371 (5years, 2012)).
Liou, Jame J.H., Tzeng, G.H. (Corresponding author), Hsu, C.C., Yeh, W.C. (2012). Reply to “comment on using
a modified grey relation method for improving airline service quality, Tourism Management, 33(3), 719720. (SSCI, IF: 2.571, 3.552 (5-years), 2012).
Hiroaki Ishii, Shogo Shiode, Hark Hwang, Gwo-Hshiung Tzeng, Hirosato Seki (2012), Preface ‘Soft computing
for management systems’
Computers & Industrial Engineering, Volume 62, Issue 3, April 2012, Page 687 (SCI, IF: 1.516, 2.028 (5years), 2012).
Don Jyh-Fu Jeng, Gwo-Hshiung Tzeng (2012), Social Influence on the Use of Clinical Decision Support Systems:
Revisiting the Unified Theory of Acceptance and Use of Technology by the Fuzzy DEMATEL Technique,
Computers & Industrial Engineering, Volume 62, Issue 3, April 2012, Pages 819-828. (SCI, IF: 1.516, 2.028
(5-years), 2012).
Meng-Jong Kuan, Gwo-Hshiung Tzeng and Chia-Chun Hsiang (2012), Exploring the Quality Assessment
System for New Product Development Process by combining DANP with MCDM Model, International
Journal of Innovative Computing, Information and Control (special issue), Vol. 8, No. 8, 5745-5762 (SCI,
Impact Factor=2.932, Rank=14/102 Category: Computer Science, Artificial Intelligence, 2011).
Chi-Yo Huang, Gwo-Hshiung Tzeng, Yun-Ting Chen and Hueiling Chen (2012), Performance Evaluation of
Leading Fabless Integrated Circuit Design Houses by Using a Multiple Objective Programming Based Data
Envelopment Analysis Approach, International Journal of Innovative Computing Information and Control,
Vol. 8, No. 8, 5899-5916 (SCI, Impact Factor=2.932, Rank=14/102 Category: Computer Science, Artificial
Intelligence, 2011).
Hsu, C.H., Wang, F.K. and Tzeng, G.H., 2012. The best vendor selection for conducting the recycled material
based on a hybrid MCDM model combining DANP with VIKOR. Resources, Conservation & Recycling, Vol.
66, pp. 95-111. (SCI, IF: 2.319, 2.889 (5-years), 2010).
Ying-Hsun Hung, Tsong-Liang Huang, Jing-Chzi Hsieh, Hung-Jia Tsuei, Chun-Chuan Cheng, Gwo-Hshiung Tzeng
(2012), Online reputation management for improving marketing by using a hybrid MCDM model,
Knowledge-Based Systems, Volume 35, November 2012, Pages 87-93 (SCI, IF: 4.104, 3.371 (5-years,
2012)).
Yung-Chi Shen, Grace T.R. Lin, Gwo-Hshiung Tzeng (2012), "A novel multi-criteria decision-making combining
Decision Making Trial and Evaluation Laboratory technique for technology evaluation", Foresight, Vol. 14
Iss: 2, pp.139 – 153.
Chi-Yo Huang, Po-Yen Wang, and Gwo-Hshiung Tzeng (2012), Evaluating Top Information Technology Firms in
Analysis, Lecture Notes in Computer Science, IEA/AIE 2012, LNAI 7345, pp. 720—730, Springer, Heidelberg.
(EI)
Yu-Chien Ko, Hamido Fujita, and Gwo-Hshiung Tzeng (2012), Using DRSA and Fuzzy Measure to Enlighten
Policy Making for Enhancing National Competitiveness by WCY 2011, in H. Jiang et al. (Eds.): Lecture Notes
in Science, IEA/AIE 2012, LNAI 7345, pp. 709—719, Springer, Heidelberg (2012). (EI)
Chi-Yo Huang, Ming-Jenn Wu, Yu-Wei Liu, and Gwo-Hshiung Tzeng (2012), Using the DEMATEL Based
Network Process and Structural Equation Modeling Methods for Deriving Factors Influencing the
Acceptance of Smart Phone Operation Systems, in H. Jiang et al. (Eds.): Lecture Notes in Computer
Science, IEA/AIE 2012, LNAI 7345, pp. 731—741, Springer, Heidelberg (2012). (EI)
Shu-kung Hu, Yen-Ching Chuang, Ya-Fan Yeh, Gwo-Hshiung Tzeng (2012), Hybrid MADM with Fuzzy Integral
for Exploring the Smart Phone Improvement in M-Generation, International Journal of Fuzzy Systems,
14(2), 204-214. (SCI, IF= 1.16, 2010; EI).
Gwo-Hshiung Tzeng (Corresponding author), Chi-Yo Huang (2012), Combined DEMATEL technique with
hybrid MCDM methods for creating the aspired intelligent global manufacturing & logistics systems,
Annals of Operations Research: Volume 197, Issue 1 (2012), Page 159-190 (SCI, IF: 1.029, 2012)
Krzysztof Targiel, Tadeusz Trzaskalik, Małgorzata Trzaskalik-Wyrwa, Gwo Hsiung Tzeng (2012): DEMATEL, ANP
and VIKOR Based Hybrid Method Application to Restoration of Historical Organs, in Tadeusz Trzaskalik and
Tomasz Wachowicz (Eds.), Multiple Criteria Decision making ’12, Scientific Publications, the University of
Economics in Katowice.
Chui-Hua Liu, Gwo-Hshiung Tzeng, Ming-Huei Lee, Hao-Lin Tseng, Po-Yan Lee (2012), Using a Hybrid MCDM
Model Combining Fuzzy DEMATEL Technique to Examine the Job Stress of Coach Driver, Intelligent
Decision Technologies (Smart Innovation, Systems and Technologies) Volume 16, 2012, pp 149-156
2011
Vivien Y.C. Chen, Hui-Pang Lien, Chui-Hua Liu, James J.H. Liou, Gwo-Hshiung Tzeng (Corresponding author),
Lung-Shih Yang (2011). Fuzzy MCDM approach for selecting the best environment-watershed plan.
Applied Soft Computing, Volume 11, Issue 1, January 2011, Pages 265-275. (SCI, IF: 2.415, 2.468 (5-years),
2009).
Jhieh-Yu Shyng, How-Ming Shieh, Gwo-Hshiung Tzeng (2011). Compactness rate as a rule selection index
based on rough set theory to improve data analysis for personal investment portfolios, Applied Soft
Computing, 11(4), 3671–3679. (SCI, IF: 2.415, 2.468 (5-years), 2009).
Yu-Ping Ou Yang, How-Ming Shieh, Gwo-Hshiung Tzeng (Corresponding author), Leon Yen, C.-C. Chan (2011).
Combined Rough Sets with Flow Graph and Formal Concept Analysis for Business Aviation DecisionMaking, Journal of Intelligent Information Systems, 36(3), 347-366 (SCI, IF= 0.980, 1.207 (5-years), 2009;
IF=0.875, 2010).
James J.H. Liou, Gwo-Hshiung Tzeng (Corresponding author) (2011). A hybrid ANP model in fuzzy
environments for strategic alliance partner selection in the airline industry, Applied Soft Computing, 11
(2011) 3515–3524 (SCI, IF: 2.415, 2.468 (5-years), 2009).
Chiun-Sin Lin, Gwo-Hshiung Tzeng (Corresponding author), Yang-Chieh Chin (2011). Combined rough set
theory and flow network graph to predict customer churn in credit card accounts. Expert Systems with
Applications, Volume 38, Issue 1, January 2011, Pages 8-15. (SCI, IF: 2.908, 3.162 (5-years), 2009).
James J.H. Liou, Chieh-Yuan Tsai, Rong-Ho Lin, Gwo-Hshiung Tzeng (2011), A modified VIKOR multiplecriteria decision method for improving domestic airlines service quality. Journal of Air Transport
Management, Volume 17, Issue 2, March 2011, Pages 57-61 (SSCI, IF: 1, 1.312 (5-years), 2009).
Jiann Liang Yang, Gwo-Hshiung Tzeng (Corresponding author) (2011), An integrated MCDM technique
combined with DEMATEL for a novel cluster-weighted with ANP method. Expert Systems with
Applications, Volume 38, Issue 3, March 2011, Pages 1417-1424. (SCI, IF: 2.908, 3.162 (5-years), 2009).
Yung-Chi Shen, Grace T.R. Lin, Gwo-Hshiung Tzeng (2011) Combined DEMATEL techniques with novel MCDM
for the organic light emitting diode technology selection Original Research Article
Expert Systems with Applications, Volume 38, Issue 3, March 2011, Pages 1468-1481. (SCI, IF: 2.908, 3.162
(5-years), 2009).
Wen-Rong Jerry Ho, Chih-Lung Tsai, Gwo-Hshiung Tzeng (Corresponding author), Sheng-Kai Fang (2011).
Combined DEMATEL technique with a novel MCDM model for exploring portfolio selection based on
CAPM. Expert Systems with Applications, Volume 38, Issue 1, January 2011, Pages 16-25. (SCI, IF: 2.908,
3.162 (5-years), 2009).
Ying-Hsun Hung, Seng-Cho T. Chou, Gwo-Hshiung Tzeng (Corresponding author) (2011). Knowledge
management adoption and assessment for SMEs by a novel MCDM approach, Decision Support Systems,
Volume 51, Issue 2, May 2011, Pages 270-291. (IF: 2.622, 2.842 (5-Year Impact Factor), 2009)
Moussa Larbani, Chi-Yo Huang, Gwo-Hshiung Tzeng (2011). A Novel Method for Fuzzy Measure Identification,
International Journal of Fuzzy Systems 13(1), 24-34 (SCI, IF= 1.36, 2010: EI).
Chi-Yo Huang, Chih-Wei Wang and Gwo-Hshiung Tzeng (2011), Defining the Staffing Strategies of Globalized
High Technology Enterprises by an FMCDM Framework, International Journal of Innovative Computing,
Information and Control (special issue) (Accepted, SCI, Impact Factor=2.932, Rank=14/102 Category:
Computer Science, Artificial Intelligence).
Kuang-Hua Hu, Chi-Yo Huang, Huei-Ling Chen, Gwo-Hshiung Tzeng (2011) Measuring and Enhancing
Corporate Governance Capabilities from the Risk Taking Aspect by Using Hybrid MCDM Methods, ICIC
Express Letters: An International Journal of Research and Surveys (special issue, ICIC EL, Accepted).
Chi-Yo Huang, Yi-Fan Lin and Gwo-Hshiung Tzeng (2011), Configuring the Next Generation Handset By Using
a Kansei Engineering System Based MCDM Framework, ICIC Express Letters: An International Journal of
Research and Surveys (special issue, ICIC EL, Accepted).
Chi-Yo Huang, Shih-Yu Chang, Yu-Hsien Yang and Gwo-Hshiung Tzeng (2011), Predicting of the Semiconductor
Book-to-Bill Ratio by Using a Genetic Algorithm based Support Vector Regression Method, ICIC Express
Letters: An International Journal of Research and Surveys (special issue, ICIC EL, Accepted).
Chi-Yo Huang, Gwo-Hshiung Tzeng (Corresponding author), Wen-Rong Ho (2011), System on Chip Design
Service e-Business Value Maximization Through a Novel MCDM Framework, Expert Systems with
Applications, Volume 38, Issue 7, July 2011, Pages 7947-7962 (SCI, IF: 2.908, 3.162 (5-years), 2009).
Fu-Hsiang Chen, Tsung-Shin Hsu, Gwo-Hshiung Tzeng (Corresponding author), (2011), A Balanced Scorecard
Approach to Establish a Performance Evaluation and Relationship Model for Hot Spring Hotels Based on a
Hybrid MCDM Model Combining DEMATEL and ANP, International Journal of Hospitality Management,
30(4), 908-932 (SSCI, IF: 1.48, 2009).
Ya-Ti Lin, Chia-Li Lin, Hsiao-Cheng Yu, Gwo-Hshiung Tzeng (2011), Utilisation of interpretive structural
modeling method in the analysis of interrelationship of vendor performance factors, International Journal
of Business Performance Management 2011 - Vol. 12, No.3 pp. 260 - 275
Cheng-Hsiung Chen and Gwo-Hshiung Tzeng (Corresponding author) (2011), Creating the Aspired Intelligent
Assessment Systems for Teaching Materials, Expert Systems with Applications, Volume 38, Issue 10, 15
September 2011, Pages 12168-12179 (SCI, IF: 2.908, 3.162 (5-years), 2009).
Chih-Cheng Lee, Gwo-Hshiung Tzeng, Chi Chiang (2011). Determining key service quality measurement
indicators in a travel website using a fuzzy analytic hierarchy process, International Journal of Electronic
Business Management, Vol. 9, No. 4 (December, 2011), 322-333.