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Titlebook: Simulating Fuzzy Systems; James Buckley Book 2005 Springer-Verlag Berlin Heidelberg 2005 fuzzy.fuzzy set.fuzzy system.linear optimization.

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书目名称Simulating Fuzzy Systems
编辑James Buckley
视频video
概述Presents a concise introduction to fuzzy estimation, fuzzy probabilities, fuzzy systems theory and fuzzy computation.Includes a wide selection of simulation applications showing the varieties of fuzzy
丛书名称Studies in Fuzziness and Soft Computing
图书封面Titlebook: Simulating Fuzzy Systems;  James Buckley Book 2005 Springer-Verlag Berlin Heidelberg 2005 fuzzy.fuzzy set.fuzzy system.linear optimization.
描述.Simulating Fuzzy Systems. demonstrates how many systems naturally become fuzzy systems and shows how regular (crisp) simulation can be used to estimate the alpha-cuts of the fuzzy numbers used to analyze the behavior of the fuzzy system. This monograph presents a concise introduction to fuzzy sets, fuzzy logic, fuzzy estimation, fuzzy probabilities, fuzzy systems theory, and fuzzy computation. It also presents a wide selection of simulation applications ranging from emergency rooms to machine shops to project scheduling, showing the varieties of fuzzy systems..
出版日期Book 2005
关键词fuzzy; fuzzy set; fuzzy system; linear optimization; logic; model; optimization; simulation; systems theory
版次1
doihttps://doi.org/10.1007/b100371
isbn_softcover978-3-642-42534-9
isbn_ebook978-3-540-32375-4Series ISSN 1434-9922 Series E-ISSN 1860-0808
issn_series 1434-9922
copyrightSpringer-Verlag Berlin Heidelberg 2005
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Fuzzy Systems Theory,ns are to be estimated. We argue that all such systems become fuzzy systems whose performance will depend on fuzzy probability distributions and whose measures of performance can be described by fuzzy numbers. This chapter is based on [1].
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Machine Shop II,sed in Chap. 11. The new setup is shown in Fig. 12.1. All the machines M21, M22, M23, M24, M25 will be put into one group of three machines M31, M32 and M33. Service station M3 will consist of the three parallel and identical servers M31, M32, M33. The workers in M3 will be trained to service units
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Life Insurance: New Account Model, for an insurance policy. New account applications arrive at the rate of λ per unit time. We use the exponential to model time between arrivals with 1/λ the mean time between arrivals. A new account first goes to the credit check (CC in Fig. 15.1) station. All service times will be modelled by the n
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