Fundamental Concepts

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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.
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。
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