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Titlebook: Monte Carlo Methods in Fuzzy Optimization; James J. Buckley,Leonard J. Jowers Book 2008 Springer-Verlag Berlin Heidelberg 2008 Fuzzy.Fuzzy

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發(fā)表于 2025-3-21 17:50:11 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Monte Carlo Methods in Fuzzy Optimization
編輯James J. Buckley,Leonard J. Jowers
視頻videohttp://file.papertrans.cn/640/639104/639104.mp4
概述Clear and didactic book about Monte Carlo methods using random fuzzy numbers to obtain approximate solutions to fuzzy optimization problems.Includes various solved problems such as fuzzy linear progra
叢書名稱Studies in Fuzziness and Soft Computing
圖書封面Titlebook: Monte Carlo Methods in Fuzzy Optimization;  James J. Buckley,Leonard J. Jowers Book 2008 Springer-Verlag Berlin Heidelberg 2008 Fuzzy.Fuzzy
描述1. 1 Introduction The objective of this book is to introduce Monte Carlo methods to ?nd good approximate solutions to fuzzy optimization problems. Many crisp (nonfuzzy) optimization problems have algorithms to determine solutions. This is not true for fuzzy optimization. There are other things to discuss in fuzzy optimization, which we will do later onin the book, like? and < between fuzzy numbers since there will probably be fuzzy constraints, and how do we evaluate max/minZ for Z the fuzzy value of the objective function. This book is divided into four parts: (1) Part I is the Introduction containing Chapters 1-5; (2) Part II, Chapters 6-16, has the applications of our Monte Carlo method to obtain approximate solutions to fuzzy optimization problems; (3)PartIII,comprisingChapters17-27,outlinesour“un?nishedbusiness”which are fuzzy optimization problems for which we have not yet applied our Monte Carlomethodtoproduceapproximatesolutions;and(4)PartIVisoursummary, conclusions and future research. 1. 1. 1 Part I First we need to be familiar with fuzzy sets. All you need to know about fuzzy sets for this book comprises Chapter 2. For a beginning introduction to fuzzy sets and fuzzy log
出版日期Book 2008
關(guān)鍵詞Fuzzy; Fuzzy Statistics; Mont Carlo Studies; Random Fuzzy Numbers; Regression; fuzzy set; fuzzy sets; game
版次1
doihttps://doi.org/10.1007/978-3-540-76290-4
isbn_softcover978-3-642-09516-0
isbn_ebook978-3-540-76290-4Series ISSN 1434-9922 Series E-ISSN 1860-0808
issn_series 1434-9922
copyrightSpringer-Verlag Berlin Heidelberg 2008
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Studies in Fuzziness and Soft Computinghttp://image.papertrans.cn/m/image/639104.jpg
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978-3-642-09516-0Springer-Verlag Berlin Heidelberg 2008
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Monte Carlo Methods in Fuzzy Optimization978-3-540-76290-4Series ISSN 1434-9922 Series E-ISSN 1860-0808
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1434-9922 Includes various solved problems such as fuzzy linear progra1. 1 Introduction The objective of this book is to introduce Monte Carlo methods to ?nd good approximate solutions to fuzzy optimization problems. Many crisp (nonfuzzy) optimization problems have algorithms to determine solutions. This is n
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Book 2008our Monte Carlomethodtoproduceapproximatesolutions;and(4)PartIVisoursummary, conclusions and future research. 1. 1. 1 Part I First we need to be familiar with fuzzy sets. All you need to know about fuzzy sets for this book comprises Chapter 2. For a beginning introduction to fuzzy sets and fuzzy log
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