「台北大學與交通大學」『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1:30~4:3
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: [email protected],
Tel: 0922334176
研究群:黃啟祐 台灣師範大學教授 [email protected]
劉建浩 台北科技大學教授 [email protected]
劉翠華 開南大學副教授 [email protected]
黃日鉦 東吳大學副教授 [email protected]
沈高毅 文化大學助理教授 [email protected]
胡曙光 開南大學助理教授 [email protected]
盧明滄博士 商研院研究員 [email protected]
俞建州 台灣科技大學博士候選人 [email protected]
崔哲偉 清華大學博士候選人 [email protected]
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, 5-Year 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 (super-additive) 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 Multi-Objective 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), 672-695.
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 (super-additive) 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?』」。
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/non-super-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).
(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1:30~4:3
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: [email protected],
Tel: 0922334176
研究群:黃啟祐 台灣師範大學教授 [email protected]
劉建浩 台北科技大學教授 [email protected]
劉翠華 開南大學副教授 [email protected]
黃日鉦 東吳大學副教授 [email protected]
沈高毅 文化大學助理教授 [email protected]
胡曙光 開南大學助理教授 [email protected]
盧明滄博士 商研院研究員 [email protected]
俞建州 台灣科技大學博士候選人 [email protected]
崔哲偉 清華大學博士候選人 [email protected]
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, 5-Year 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 (super-additive) 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 Multi-Objective 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), 672-695.
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 (super-additive) 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?』」。
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/non-super-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).