Defuzzification is the process of producing a quantifiable result in crisp logic, given fuzzy sets and corresponding membership degrees. It is the process that maps a fuzzy set to a crisp set.

去模糊化是将推论所得到的模糊值转换为明确的控制讯号，做为系统的输入值。去模糊化是模糊推理机中重要的一步，也称解模糊化。去模糊化的方法有很多种，最常用的有最大隶属度法，重心法和加权平 …

Mar 25, 2025 · 3.去模糊化（Defuzzification）在推理过程中的位置 由示例可知， 去模糊化 是 模糊推理的最后一步，目标是将 模糊推理 输出的隶属度分布转换为精确的数值，用于实际控制或决策。 先再次 …

Defuzzification Methods This example describes the built-in methods for defuzzifying the output fuzzy set of a type-1 Mamdani fuzzy inference system. Consider the following output fuzzy set, which is an …

Defuzzification is the process of taking the fuzzy outputs and converting them to a single or crisp output value. This process may be performed by any one of several defuzzification methods.

反模糊化 （Defuzzification）是 模糊逻辑系统 中将模糊集合转换为清晰（或 crisp）数值的过程，以便系统可以做出具体的决策或控制输出。 在模糊控制中，常见的反模糊化方法包括Center of Sum (COS) …

What is Defuzzification? Defuzzification is the reverse of fuzzification. Once a fuzzy logic system has processed the fuzzy input data and applied the relevant fuzzy rules, the results need to be translated …

Mar 1, 2020 · Defuzzification is a last step of fuzzy system, which converts fuzzy output set to a crisp value. This paper discusses essential set of parameters that a defuzzification method should exhibits.

Review Questions Define defuzzification process. What is the necessity to convert the fuzzy quantities into crisp quantities? State the method lambda cuts employed for the conversion of the fuzzy set into …

解模糊 （Defuzzification）是在给定 模糊集 及对应从属函数（membership function）程度时，产生对应 经典逻辑 下结果的程序。 是将模糊集映集到明确集合（crisp set），解模糊常用在 模糊控制 系统 …