首页--数理科学和化学论文--数学论文--代数、数论、组合理论论文--模糊数学论文

Multiple Objective Decision Making in a Fuzzy Environment

ACKNOWLEDGEMENTS第3-7页
CHAPTER 1 INTRODUCTION第7-13页
    1.1 The Problem第7-10页
    1.2 Objectives of This Study第10-11页
    1.3 Presentation of The Thesis第11-13页
CHAPTER 2 An Introduction To Fuzzy Decision Making第13-28页
    2.1 Some Basic Concepts第14-19页
    2.2 Fuzzy Linear Programming第19-26页
        2.2.1 Linear Programming With Fuzzy Goals and Fuzzy Constraints第20-24页
            2.2.1.1 Symmetrical Models第20-22页
            2.2.1.2 Asymmetrical Models第22-24页
        2.2.2 Linear Programming With Fuzzy Coefficients第24-26页
    References第26-28页
CHAPTER 3 COMPARISON OF FUZZY SETS第28-79页
    3.1 A Review of Approaches for Ranking Fuzzy Sets in The Literature第29-63页
        3.1.1 Classification of The Approaches第29-30页
        3.1.2 Mathematical Approaches第30-59页
            3.1.2.1 Possibilistic Approaches第31-47页
            3.1.2.2 Probabilistic Approaches第47-58页
            3.1.2.3 Concluding Remarks第58-59页
        3.1.3 Linguistic Approaches第59-63页
    3.2 A New Approach Based on The Probability Measure of Fuzzy Events第63-75页
        3.2.1 Probability Measure of Fuzzy Events第64-65页
        3.2.2 Ranking Fuzzy Sets Based on Probability Measure第65-68页
        3.2.3 A Relationship Between The Two Comparison Indices Based on Possibility Theory第68-69页
        3.2.4 Relationships With The Indices of Yager and Kaufmann第69-70页
        3.2.5 Ranking Random Fuzzy Sets第70-71页
        3.2.6 Extensions To The Ranking of Fuzzy Subsets第71-72页
        3.2.7 An Illustrative Example第72-75页
    References第75-79页
CHAPTER 4 FUZZY OPTIMIZATION OF A GIVEN SYSTEM第79-153页
    4.1 Fuzzy Approach To Traditional MODM第79-122页
        4.1.1 An Introduction To LMOP第80-86页
        4.1.2 An Introduction To Fuzzy Approach第86-93页
            4.1.2.1 Membership Functions第87-88页
            4.1.2.2 Aggregation of Fuzzy Goals第88-91页
            4.1.2.3 Zimmermann's Methodology第91-93页
        4.1.3 Relationships Between, and Drawbacks of The Traditional Approach and The Fuzzy Approach第93-99页
        4.1.4 Compensatory Operators第99-106页
        4.1.5 Concluding Remarks and New Approach To LMOP第106-110页
        4.1.6 Nonlinear Membership Functions第110-122页
            4.1.6.1 Liberling's Hyperbolic Membership Function第111-113页
            4.1.6.2 An Exponential Membership Function第113-115页
            4.1.6.3 Max-Min Version With Exponential Membership Function第115-119页
            4.1.6.4 Max-Product Version With Exponential Membership Function第119-121页
            4.1.6.5 The Relationships Between Models With Linear and Exponential Membership Functions第121-122页
    4.2 Fuzzy Multiple Objective Decision Making第122-148页
        4.2.1 Multiobjective Programming With Fuzzy Goals and Fuzzy Constraints第122-125页
        4.2.2 Multiobjective Programming With Fuzzy Parameters第125-148页
            4.2.2.1 A Review of Some Approaches in The Literature第126-133页
            4.2.2.2 The modified Two-phase Approach第133-148页
    References第148-153页
CHAPTER 5 FUZZY OPTIMAL SYSTEM DESIGN第153-189页
    5.1 An Introduction To De Novo Programming第153-156页
    5.2 Zeleny's Algorithm第156-162页
    5.3 Fuzzy Approaches for Solving De Novo Problems第162-174页
    5.4 Fuzzy De Novo Programming第174-184页
    5.5 Concluding Remarks第184-186页
    References第186-189页
CHAPTER 6 SUMMARY OF STUDY AND FUTURE PERSPECTIVES第189-193页
    6.1 Summary of The Study第189-192页
    6.2 Future Perspectives第192-193页
    References第193页

论文共193页,点击 下载论文
上一篇:1.人凝集素样氧化型低密度脂蛋白受体-1在毕赤酵母中表达及其受体拮抗剂筛选模型的建立 2.紫杉烯合酶基因在黑曲霉中表达的初步研究
下一篇:Study of the Performance of Turbo Code over Inter-Symbol Interference Channel with Additive White Gaussian Noise