找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

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

[復(fù)制鏈接]
查看: 10457|回復(fù): 35
樓主
發(fā)表于 2025-3-21 17:50:11 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)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(shū)名稱Studies in Fuzziness and Soft Computing
圖書(shū)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
The information of publication is updating

書(shū)目名稱Monte Carlo Methods in Fuzzy Optimization影響因子(影響力)




書(shū)目名稱Monte Carlo Methods in Fuzzy Optimization影響因子(影響力)學(xué)科排名




書(shū)目名稱Monte Carlo Methods in Fuzzy Optimization網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Monte Carlo Methods in Fuzzy Optimization網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Monte Carlo Methods in Fuzzy Optimization被引頻次




書(shū)目名稱Monte Carlo Methods in Fuzzy Optimization被引頻次學(xué)科排名




書(shū)目名稱Monte Carlo Methods in Fuzzy Optimization年度引用




書(shū)目名稱Monte Carlo Methods in Fuzzy Optimization年度引用學(xué)科排名




書(shū)目名稱Monte Carlo Methods in Fuzzy Optimization讀者反饋




書(shū)目名稱Monte Carlo Methods in Fuzzy Optimization讀者反饋學(xué)科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒(méi)有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 23:08:54 | 只看該作者
Studies in Fuzziness and Soft Computinghttp://image.papertrans.cn/m/image/639104.jpg
板凳
發(fā)表于 2025-3-22 01:56:26 | 只看該作者
地板
發(fā)表于 2025-3-22 05:19:06 | 只看該作者
978-3-642-09516-0Springer-Verlag Berlin Heidelberg 2008
5#
發(fā)表于 2025-3-22 11:19:30 | 只看該作者
Monte Carlo Methods in Fuzzy Optimization978-3-540-76290-4Series ISSN 1434-9922 Series E-ISSN 1860-0808
6#
發(fā)表于 2025-3-22 15:36:31 | 只看該作者
7#
發(fā)表于 2025-3-22 19:45:50 | 只看該作者
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
8#
發(fā)表于 2025-3-23 00:41:52 | 只看該作者
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
9#
發(fā)表于 2025-3-23 02:19:40 | 只看該作者
10#
發(fā)表于 2025-3-23 06:00:19 | 只看該作者
10樓
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛(ài)論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-21 16:11
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
冕宁县| 泽库县| 阳江市| 乌拉特前旗| 崇文区| 梨树县| 潜山县| 井陉县| 察隅县| 泰安市| 马公市| 北碚区| 石林| 漯河市| 神木县| 吴江市| 石河子市| 乡城县| 如东县| 青岛市| 班玛县| 神池县| 望城县| 重庆市| 高台县| 鸡西市| 皮山县| 文登市| 那坡县| 榆中县| 乡宁县| 衡东县| 区。| 和林格尔县| 称多县| 甘肃省| 鄂伦春自治旗| 平山县| 炉霍县| 富顺县| 岗巴县|