{"title":"Fundamental Concepts","authors":"","doi":"10.4018/978-1-5225-8301-1.ch002","DOIUrl":null,"url":null,"abstract":"In this chapter, the authors discuss some basic concepts of probability theory and possibility theory that are useful when reading the subsequent chapters of this book. The multi-objective fuzzy stochastic programming models developed in this book are based on the concepts of advanced topics in fuzzy set theory and fuzzy random variables (FRVs). Therefore, for better understanding of these advanced areas, the authors at first presented some basic ideas of probability theory and probability density functions of different continuous probability distributions. Afterwards, the necessity of the introduction of the concept of fuzzy set theory, some important terms related to fuzzy set theory are discussed. Different defuzzification methodologies of fuzzy numbers (FNs) that are useful in solving the mathematical models in imprecisely defined decision-making environments are explored. The concept of using FRVs in decision-making contexts is defined. Finally, the development of different forms of fuzzy goal programming (FGP) techniques for solving multi-objective decision-making (MODM) problems is underlined.","PeriodicalId":404955,"journal":{"name":"Multi-Objective Stochastic Programming in Fuzzy Environments","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Multi-Objective Stochastic Programming in Fuzzy Environments","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/978-1-5225-8301-1.ch002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In this chapter, the authors discuss some basic concepts of probability theory and possibility theory that are useful when reading the subsequent chapters of this book. The multi-objective fuzzy stochastic programming models developed in this book are based on the concepts of advanced topics in fuzzy set theory and fuzzy random variables (FRVs). Therefore, for better understanding of these advanced areas, the authors at first presented some basic ideas of probability theory and probability density functions of different continuous probability distributions. Afterwards, the necessity of the introduction of the concept of fuzzy set theory, some important terms related to fuzzy set theory are discussed. Different defuzzification methodologies of fuzzy numbers (FNs) that are useful in solving the mathematical models in imprecisely defined decision-making environments are explored. The concept of using FRVs in decision-making contexts is defined. Finally, the development of different forms of fuzzy goal programming (FGP) techniques for solving multi-objective decision-making (MODM) problems is underlined.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基本概念
在本章中,作者讨论了概率论和可能性理论的一些基本概念,这些概念在阅读本书的后续章节时很有用。在本书中开发的多目标模糊随机规划模型是基于模糊集理论和模糊随机变量(frv)的高级主题的概念。因此,为了更好地理解这些高级领域,作者首先提出了概率论的一些基本思想和不同连续概率分布的概率密度函数。然后,讨论了引入模糊集理论概念的必要性,以及与模糊集理论相关的一些重要术语。本文探讨了在不精确定义的决策环境中求解数学模型的各种模糊数解模糊化方法。定义了在决策环境中使用frv的概念。最后,重点介绍了用于解决多目标决策问题的不同形式的模糊目标规划(FGP)技术的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Fuzzy Multi-Objective Stochastic Models for Municipal Solid Waste Management On Solving Fuzzy Multi-Objective Multi-Choice Stochastic Transportation Problems Fuzzy Linear Multi-Objective Stochastic Programming Models Development of Fuzzy Multi-Objective Stochastic Fractional Programming Models Fundamental Concepts
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1