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" Dynamical Aspects in Fuzzy Decision Making "
edited by Yuji Yoshida.
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BL
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| Record Number
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578838
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b408057
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| Main Entry
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Yoshida, Yuji.
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| Title & Author
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Dynamical Aspects in Fuzzy Decision Making\ edited by Yuji Yoshida.
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| Publication Statement
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Heidelberg :: Physica-Verlag HD :: Imprint: Physica,, 2001.
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| Series Statement
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Studies in Fuzziness and Soft Computing,; 73
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| ISBN
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9783790818178
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: 9783790824902
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| Contents
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J. Kacpzryk, A.O. Esogbue: Fuzzy Dynamic Programming: Basis Issues and Problem Classes -- S. Iwamoto: Fuzzy Dynamic Programming in the Stochastic Environment -- L.F. Sugianto: Management of Data Uncertainty in Dynamic Programming -- H.-S. Shih, E.S. Lee: Discrete Multi-Level Programming in a Dynamic Environment -- M. Sakawa, I. Nishizaki: Interactive Fuzzy Programming for Multi-Level Nonconvex Nonlinear Programming Problems Through Genetic Algorithms -- M. Inuiguchi, T. Tanino: Two-Stage Linear Recourse Problems under Non-Probabilistic Uncertainty -- J. Watada: Fuzzy Portfolio Model for Decision Making in Investment -- S. Saito, H. Ishii, M. Chen: Fuzzy Differentials and Deterministic Approaches to Fuzzy Optimization Problems -- M. Kurano, M. Yasuda, J. Nakagami, Y. Yoshida: Order Relations and a Monotone Convergence Theorem in the Class of Fuzzy Sets on Rn -- D. Dubois, H. Prade: Advances in the Egalitarist Approach to Decision-Making in a Fuzzy Environment.
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| Abstract
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The book focuses on the recent dynamical development in fuzzy decision making. Various kinds of dynamics regarding not only time but also structure of systems are discussed in theory and applications. First, fuzzy dynamic programming is reviewed from a viewpoint of its origin and we consider its development in theory and applications. Next, the structure of dynamics in systems is considered in relation to fuzzy mathematical programming. Furthermore, some topics potentially related to dynamics are presented: financial management, fuzzy differential for fuzzy optimization of continuous-time fuzzy systems, and fuzzy ordering in multi-objective fuzzy systems. Finally, a unified approach in fuzzy decision making is developed. Readers can learn various kinds of methods to solve dynamical problems in fuzzy decision making through these chapters.
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Economics.
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Artificial intelligence.
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Operations research.
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| Added Entry
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SpringerLink (Online service)
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