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 |  | 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 | doi | https://doi.org/10.1007/978-3-7908-1817-8 | isbn_softcover | 978-3-7908-2490-2 | isbn_ebook | 978-3-7908-1817-8Series ISSN 1434-9922 Series E-ISSN 1860-0808 | issn_series | 1434-9922 | copyright | Springer-Verlag Berlin Heidelberg 2001 |
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