二型模糊系统软件

资 源 简 介

"关于二型模糊的程序，Zadeh教授在提出模糊集时曾经提到集合的模糊性程度问题，将传统的模糊集合扩展开来，进一步给出模糊集合中隶属度值的模糊程度，从而使描述的模糊集合模糊性增强，这种扩展的一型模糊集称为二型模糊集合，基于二型模糊集合建立的系统称为二型模糊逻辑系统。1999年，美国著名教授J.M.Mendel提出了二型模糊逻辑及其模糊逻辑系统，并开始了深入地研究，已取得一定进展。二型模糊逻辑系统方法是一个新的系统工具，于1998年由南加州大学电子工程系的一个工作小组提出并成功应用于时变信道均化上，效果显著。

详 情 说 明

The concept of fuzzy sets was introduced by Professor Zadeh, who also addressed the issue of degree of fuzziness in set membership. He expanded traditional fuzzy sets by further defining the degree of fuzziness in the membership values of fuzzy sets, thus increasing their degree of fuzziness. This expanded type of fuzzy sets is known as type-2 fuzzy sets, and systems based on type-2 fuzzy sets are called type-2 fuzzy logic systems. In 1999, the renowned American professor J.M. Mendel proposed type-2 fuzzy logic and its fuzzy logic system, and began in-depth research, making significant progress. Type-2 fuzzy logic system is a new system tool that was proposed in 1998 by a working group in the Department of Electronic Engineering at the University of Southern California, and has been successfully applied to time-varying channel equalization with remarkable results. It overcomes the limitations of fuzzy sets in handling the uncertainty of real objects. International research institutions have applied the type-2 fuzzy logic system to fields such as communication, biology, and finance. In China, research and development on type-2 fuzzy logic systems is relatively scarce, but the application prospects of type-2 fuzzy systems are broad. Fuzzy reasoning based on type-2 fuzzy sets is an important component of type-2 fuzzy logic systems, and it is the foundation for researching type-2 fuzzy logic systems. However, research on fuzzy reasoning based on type-2 fuzzy sets is very limited, especially in China. Therefore, fuzzy reasoning based on type-2 fuzzy sets is particularly important and has practical significance.