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Titlebook: Interactive Fuzzy Optimization; Mario Fedrizzi,Janusz Kacprzyk,Marc Roubens Book 1991 Springer-Verlag Berlin Heidelberg 1991 Fuzzy Optimiz

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書(shū)目名稱(chēng)Interactive Fuzzy Optimization
編輯Mario Fedrizzi,Janusz Kacprzyk,Marc Roubens
視頻videohttp://file.papertrans.cn/471/470500/470500.mp4
叢書(shū)名稱(chēng)Lecture Notes in Economics and Mathematical Systems
圖書(shū)封面Titlebook: Interactive Fuzzy Optimization;  Mario Fedrizzi,Janusz Kacprzyk,Marc Roubens Book 1991 Springer-Verlag Berlin Heidelberg 1991 Fuzzy Optimiz
描述The title of this book seems to indicate that the volume is dedicated to a very specialized and narrow area, i. e. , to the relationship between a very special type of optimization and mathematical programming. The contrary is however true. Optimization is certainly a very old and classical area which is of high concern to many disciplines. Engineering as well as management, politics as well as medicine, artificial intelligence as well as operations research, and many other fields are in one way or another concerned with optimization of designs, decisions, structures, procedures, or information processes. It is therefore not surprising that optimization has not grown in a homogeneous way in one discipline either. Traditionally, there was a distinct difference between optimization in engineering, optimization in management, and optimization as it was treated in mathematical sciences. However, for the last decades all these fields have to an increasing degree interacted and contributed to the area of optimization or decision making. In some respects, new disciplines such as artificial intelligence, descriptive decision theory, or modern operations research have facilitated, or even m
出版日期Book 1991
關(guān)鍵詞Fuzzy Optimization; Unscharfe Entscheidungen; algorithm; algorithms; decision making; fuzzy; fuzzy set; fuz
版次1
doihttps://doi.org/10.1007/978-3-642-45700-5
isbn_softcover978-3-540-54577-4
isbn_ebook978-3-642-45700-5Series ISSN 0075-8442 Series E-ISSN 2196-9957
issn_series 0075-8442
copyrightSpringer-Verlag Berlin Heidelberg 1991
The information of publication is updating

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Interactive Fuzzy Optimization978-3-642-45700-5Series ISSN 0075-8442 Series E-ISSN 2196-9957
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A Concept of Optimality for Fuzzified Mathematical Programming ProblemsIn this paper an optimality concept is introduced for . — fuzzified mathematical programming problems. It is based on the parametric embedding method of classical nonlinear programming. A numerical method to find the optimum in this sense is also given.
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Some Properties of Possibilistic Linear Equality Systems with Weakly Noninteractive Fuzzy NumbersPossibilistic linear equality systems (PLES) are linear equality systems with fuzzy parameters and crisp variables. We study the problem: For a given PLES with weakly noninteractive fuzzy number parameters, how does the solution change as the parameters are varied?
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Fuzzy Preferences in Linear ProgrammingThis paper deals with a fuzzy approach to linear programming. Inexact coefficients in the constraints and objective function are considered. Our attention is focused on the problem of ranking (comparing) fuzzy values (numbers) in the constraints of LP problem.
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