| 书目名称 | Monte Carlo Methods in Fuzzy Optimization |
| 编辑 | James J. Buckley,Leonard J. Jowers |
| 视频video | |
| 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 |
| 丛书名称 | Studies in Fuzziness and Soft Computing |
| 图书封面 |  |
| 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 |
| 关键词 | Fuzzy; Fuzzy Statistics; Mont Carlo Studies; Random Fuzzy Numbers; Regression; fuzzy set; fuzzy sets; game |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-540-76290-4 |
| isbn_softcover | 978-3-642-09516-0 |
| isbn_ebook | 978-3-540-76290-4Series ISSN 1434-9922 Series E-ISSN 1860-0808 |
| issn_series | 1434-9922 |
| copyright | Springer-Verlag Berlin Heidelberg 2008 |
发表于 2025-3-21 17:50:11
