Fuzzy stochastic multiobjective programming
著者
書誌事項
Fuzzy stochastic multiobjective programming
(International series in operations research & management science, v. 159)
Springer, c2011
大学図書館所蔵 全7件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
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  アメリカ
注記
Includes bibliographical references and index
内容説明・目次
内容説明
Although studies on multiobjective mathematical programming under uncertainty have been accumulated and several books on multiobjective mathematical programming under uncertainty have been published (e.g., Stancu-Minasian (1984); Slowinski and Teghem (1990); Sakawa (1993); Lai and Hwang (1994); Sakawa (2000)), there seems to be no book which concerns both randomness of events related to environments and fuzziness of human judgments simultaneously in multiobjective decision making problems. In this book, the authors are concerned with introducing the latest advances in the field of multiobjective optimization under both fuzziness and randomness on the basis of the authors' continuing research works. Special stress is placed on interactive decision making aspects of fuzzy stochastic multiobjective programming for human-centered systems under uncertainty in most realistic situations when dealing with both fuzziness and randomness. Organization of each chapter is briefly summarized as follows:
Chapter 2 is devoted to mathematical preliminaries, which will be used throughout the remainder
of the book. Starting with basic notions and methods of multiobjective programming, interactive
fuzzy multiobjective programming as well as fuzzy multiobjective programming is outlined.
In Chapter 3, by considering the imprecision of decision maker's (DM's) judgment for stochastic
objective functions and/or constraints in multiobjective problems, fuzzy multiobjective stochastic
programming is developed.
In Chapter 4, through the consideration of not only the randomness of parameters involved in
objective functions and/or constraints but also the experts' ambiguous understanding of the realized values of the random parameters, multiobjective programming problems with fuzzy random variables are formulated.
In Chapter 5, for resolving conflict of decision making problems in hierarchical managerial or
public organizations where there exist two DMs who have different priorities in making decisions, two-level programming problems are discussed.
Finally, Chapter 6 outlines some future research directions.
目次
Chapter 1. Introduction and Historical Remarks.- Chapter 2. Fundamentals.- Chapter 3. Fuzzy Multiobjective Stochastic Programming.- Chapter 4. Multiobjective Fuzzy Random Programming.- Chapter 5. Stochastic and Fuzzy Random Two-Level Programming.- Chapter 6. Future Research Directions.
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