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研究生:張嘉君
研究生(外文):Chia-Chun Chang
論文名稱:應用模糊多目標多人決策於專案管理問題
論文名稱(外文):Fuzzy Multi-Objective Decision Makings with Multi-Makers on Project Management Problem
指導教授:王明展王明展引用關係
口試委員:楊明峰林志平
口試日期:2012-06-20
學位類別:碩士
校院名稱:國立臺北科技大學
系所名稱:工業工程與管理系碩士班
學門:工程學門
學類:工業工程學類
論文種類:學術論文
論文出版年:2012
畢業學年度:100
語文別:英文
論文頁數:59
中文關鍵詞:模糊多目標決策多人決策專案管理問題
外文關鍵詞:Fuzzy multi-objective decision makingsMulti-decision makersProject management problem
相關次數:
  • 被引用被引用:2
  • 點閱點閱:153
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  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
在現今高度競爭的環境下,為了符合企業需求,專案管理(PM)問題不只包含許多互相衝突的目標而且決策也須仰賴多個專案經理人的意見,再加上決策因子通常均具高度的不確定性,所以本研究提出了兩個新模型用以處理此類型的專案管理問題:改良可能性線性(APLP)模型和互動式(ITPP)兩階規劃模型。此兩模型均能整合來自多位決策者的意見也能將不確定性訊息轉換成明確訊息,且能得到使決策者更加滿意的解結果。本研究的最後將會以真實的PM問題呈現出本研究所提的兩個新模型的可行性。整體而言,利用本研究所提供的模型所得到的結果能更貼近現今世界的真實性。

In this highly competitive environment, in order to fit the need of current enterprises, the project management (PM) problems not only involve numerous conflicting objectives but the decision makings have to depend on more consensuses of professional managers, and the decision making factors always accompany highly incomplete information. This paper proposes two new models are ameliorative possibilistic linear programming (APLP) model and interactive two phase programming (ITPP) model. In these two models, the opinions from several decision makers can be amalgamated, the indefinite information can be transformed into precise information, as well as to get a preferred satisfactory solutions of decision makers. Then, for attaining our objective, a detailed numerical example is presented to illustrate the feasibility of applying the proposed models to actual PM decision problem at the end of this paper. The results in this paper are helpful to approach the reality of the world.

CONTENT

摘要 i
ABSTRACT ii
誌謝 iii
CONTENT iv
LIST OF TABLE vi
LIST OF FIGURE vii
CHAPTER1. INTRODUTION 1
1.1 RESEARCH BACKGROUND AND MOTIVATION 1
1.2 RESEARCH OBJECTIVES 2
1.3 RESEARCH PROCESS 3
CHAPTER2. LITERATURE REVIEW 4
2.1 PROJECT MANAGEMENT CONCEPT 4
2.1.1 Definition of Project Management 4
2.1.2 The Development of PM Tool and Technique 5
2.2 MULTI-OBJECTIVE MAKING WITH DECISION MAKERS 7
2.3 FUZZY THEORY 8
2.3.1 Application of Fuzzy Theory 8
2.3.2 Basic of Fuzzy Theory 9
2.3.3 Fuzzy numbers 11
2.3.4 Defuzzification 12
2.4 FUZZY MULTI-OBJECTIVE MAKING 15
2.5 PM DECISION PROBLEMS IN FUZZY ENVIRONMENT 16
2.5.1 Fuzzy linear programming model in PM problems 16
2.5.2 Fuzzy multi-objective linear programming model in PM problems 17
CHAPTER3. MODEL DEVELOPMENT 19
3.1 PROBLEM DESCRIPTION, ASSUMPTION AND NOTATION 19
3.2 MATHEMATICAL MODEL 22
3.3 METHOD FOR SOLVING THE FUZZY OBJECTIVE FUNCTIONS 23
3.4 METHOD FOR INTEGRATING CONCEPT OF MULTI-DECISION AND SOLVING THE FUZZY CONSTRAINTS 25
3.5 THE MODEL OF APLP 29
3.6 THE MODEL OF ITPP 32
CHAPTER4. NUMERICAL EXAMPLE 36
4.1 EXAMPLE DESCRIPTION AND OPINIONS INTEGRATION OF DECISION MAKERS 36
4.2 SOLVED BY APLP MODEL 37
4.3 SOLVED BY ITPP MODEL 41
CHAPTER5. CONCLUSION AND FUTURE RESEARCH 46
5.1 CONCLUSION 46
5.2 FUTURE RESEARCH 47
REFERANCE 48
APPENDIX A: THE PROCESS OF THE MULTI-OBJECTIVE LINEAR PROGRAMMING MODEL (MOLP MODEL) TURNS TO SINGLE OBJECTIVE LINEAR PROGRAMMING MODEL (SOLP MODEL) 54


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