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Titlebook: Dynamical Aspects in Fuzzy Decision Making; Yuji Yoshida Book 2001 Springer-Verlag Berlin Heidelberg 2001 Fuzzy Systems.algorithm.algorith

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书目名称Dynamical Aspects in Fuzzy Decision Making
编辑Yuji Yoshida
视频video
概述Presents various kinds of methods to solve dynamical problems in fuzzy decision making.Includes supplementary material:
丛书名称Studies in Fuzziness and Soft Computing
图书封面Titlebook: Dynamical Aspects in Fuzzy Decision Making;  Yuji Yoshida Book 2001 Springer-Verlag Berlin Heidelberg 2001 Fuzzy Systems.algorithm.algorith
描述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. Th
出版日期Book 2001
关键词Fuzzy Systems; algorithm; algorithms; decision making; dynamic programming; dynamics; fuzzy; fuzzy sets; fuz
版次1
doihttps://doi.org/10.1007/978-3-7908-1817-8
isbn_softcover978-3-7908-2490-2
isbn_ebook978-3-7908-1817-8Series ISSN 1434-9922 Series E-ISSN 1860-0808
issn_series 1434-9922
copyrightSpringer-Verlag Berlin Heidelberg 2001
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Interactive Fuzzy Programming for Multi-Level Nonconvex Nonlinear Programming Problems Through Gene satisfactory degree of each decision maker balances with those of the others. Finally, a numerical example is given to illustrate an interactive process in the proposed method for deriving a satisfactory solution.
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,Order Relations and a Monotone Convergence Theorem in the Class of Fuzzy Sets on ℝ,,ated and characterized in the concept of a determining class. These results are applied to obtain the limit theorem for a sequence of fuzzy sets defined by the dynamic fuzzy system with a monotone fuzzy relation. Several figures are illustrated to comprehend our results.
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Gegenstand und Ziele der Untersuchung, proposed. Generally, we need to solve max-min problems or bilinear programming problems during the solution process. Some special cases are discussed in order to solve the max-min problems efficiently.
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Two-Stage Linear Recourse Problems under Non-Probabilistic Uncertainty, proposed. Generally, we need to solve max-min problems or bilinear programming problems during the solution process. Some special cases are discussed in order to solve the max-min problems efficiently.
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