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Dynamical Aspects in Fuzzy Decision Making

  • Book
  • © 2001

Overview

Editors:
  1. Yuji Yoshida

    1. Faculty of Economics and Business Administration, The University of Kitakyushu, Kitakyushu, Japan

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  • Presents various kinds of methods to solve dynamical problems in fuzzy decision making
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 73)

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Table of contents (10 chapters)

  1. Front Matter

    Pages I-X
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  2. Fuzzy Dynamic Programming: Basic Issues and Problem Classes

    • Janusz Kacprzyk, Augustine O. Esogbue
    Pages 1-25

  3. Fuzzy Dynamic Programming in the Stochastic Environment

    • Seiichi Iwamoto
    Pages 27-51

  4. Management of Data Uncertainty in Dynamic Programming

    • Ly Fie Sugianto
    Pages 53-78

  5. Discrete Multi-Level Programming in a Dynamic Environment

    • Hsu-Shih Shih, E. Stanley Lee
    Pages 79-98

  6. Interactive Fuzzy Programming for Multi-Level Nonconvex Nonlinear Programming Problems Through Genetic Algorithms

    • Masatoshi Sakawa, Ichiro Nishizaki
    Pages 99-116

  7. Two-Stage Linear Recourse Problems under Non-Probabilistic Uncertainty

    • Masahiro Inuiguchi, Tetsuzo Tanino
    Pages 117-140

  8. Fuzzy Portfolio Model for Decision Making in Investment

    • Junzo Watada
    Pages 141-162

  9. Fuzzy Differentials and Deterministic Approaches to Fuzzy Optimization Problems

    • Seiji Saito, Hiroaki Ishii, Minghao Chen
    Pages 163-185

  10. Order Relations and a Monotone Convergence Theorem in the Class of Fuzzy Sets on ℝn

    • Masami Kurano, Masami Yasuda, Jun-ichi Nakagami, Yuji Yoshida
    Pages 187-212

  11. Advances in the Egalitarist Approach to Decision-Making in a Fuzzy Environment

    • Didier Dubois, Henri Prade
    Pages 213-240
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Keywords

About this book

The concept of fuzziness, inspired by Zadeh (1965), brings us fruitful results when it is applied to problems in decision making. Recently, problems in fuzzy decision making are getting more complex, and one of the most complex fac­ tors is dynamics in systems. Dynamical approach to fuzzy decision making has been proposed by Bellman and Zadeh's celebrated paper "Decision-making in a fuzzy environment" (1970). The idea has developed into fuzzy mathemati­ cal programming and has been applied in many fields including management science, operations research, control theory, engineering, systems analysis, computer science, mathematical finance etc. Dynamic programming, advo­ cated in Bellmans book "Dynamic programming" (1957), is one of the most powerful tools to deal with dynamics in systems, and Bellman and Zadeh has proposed the optimality principle in fuzzy decision making by (1970) introducing fuzzy dynamic programming. Fuzzy dynamic programming and fuzzy mathematical programming has been making remakable progress after they were given life by Bellman and Zadeh's paper (1970). In this volume, various kinds of dynamics, not only time but also structure of systems, are considered. This volume contains ten reviewed papers, which deal with dynamics in theory and applications and whose topics are poten­ tially related to dynamics and are expected to develope dynamical study in near future. first, fuzzy dynamic programming is reviewed from a viewpoint of its origin and consider its developement in theory and applications.

Editors and Affiliations

  • Faculty of Economics and Business Administration, The University of Kitakyushu, Kitakyushu, Japan

    Yuji Yoshida

Bibliographic Information

  • Book Title: Dynamical Aspects in Fuzzy Decision Making

  • Editors: Yuji Yoshida

  • Series Title: Studies in Fuzziness and Soft Computing

  • DOI: https://doi.org/10.1007/978-3-7908-1817-8

  • Publisher: Physica Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2001

  • Hardcover ISBN: 978-3-7908-1397-5Published: 06 June 2001

  • Softcover ISBN: 978-3-7908-2490-2Published: 21 October 2010

  • eBook ISBN: 978-3-7908-1817-8Published: 05 June 2013

  • Series ISSN: 1434-9922

  • Series E-ISSN: 1860-0808

  • Edition Number: 1

  • Number of Pages: X, 240

  • Number of Illustrations: 4 b/w illustrations

  • Topics: Operations Research/Decision Theory, Artificial Intelligence

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