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Books > Reference & Interdisciplinary > Communication studies > Decision theory
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Dynamical Aspects in Fuzzy Decision Making (Hardcover, 2001 ed.)
Loot Price: R2,443
Discovery Miles 24 430
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Dynamical Aspects in Fuzzy Decision Making (Hardcover, 2001 ed.)
Series: Studies in Fuzziness and Soft Computing, 73
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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."
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