2型模糊集与系统
数学
模糊集运算
模糊分类
模糊数
模糊集
隶属函数
模糊数学
去模糊化
要素(刑法)
模糊子代数
模糊逻辑
离散数学
域代数上的
人工智能
计算机科学
纯数学
法学
政治学
标识
DOI:10.1002/9781119544203.ch1
摘要
This chapter describes the definition and operations of fuzzy and intuitionistic fuzzy set (IFS) theory with examples. In a fuzzy set, the degree of membership of an element signifies the extent to which the element belongs to a fuzzy set, i.e. there is a gradation of membership value of each element in a set. A membership function is a curve that defines how each point in the input space is mapped to a membership value between 0 and 1. The chapter describes different types of membership functions that may be viewed as mappings of diverse human choices to an interval [0,1]. For constructing an IFS, fuzzy generators are used. Fuzzy generators are a type of fuzzy complements with some conditions. The chapter reviews fuzzy complements. It explains intuitionistic fuzzy operations, relations, compositions, and intuitionistic fuzzy binary relations with examples.
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