Matlab Fuzzy Logics toolbox

Fuzzy logic means approximate reasoning, information granulation, computing with words.The Fuzzy Logic tool was introduced in 1965 by Lotfi Zadeh and is a mathematical tool for dealing with uncertainty. It offers to a soft computing partnership the important concept of computing with words’. It provides a technique to deal with imprecision and information granularity. The fuzzy theory provides a mechanism for representing linguistic constructs. In general, the fuzzy logic provides an inference structure that enables appropriate human reasoning capabilities

Fuzzy logic is all about the relative importance of precision.Fuzzy Logic Toolbox™ Provides MATLAB functions, apps, and a Simulink block for analyzing, designing, and simulating systems based on fuzzy logic .it guides you through the steps of designing fuzzy inference systems. Functions are provided for many common methods, including fuzzy clustering and adaptive neuro-fuzzy learning and lets you model complex system behaviors using simple logic rules, and then implement these rules in a fuzzy inference system. Alternatively, you can use fuzzy inference blocks in Simulink and simulate the fuzzy systems within a comprehensive model of the entire dynamic system.

•Fuzzy Logic Designs app for building fuzzy inference systems and viewing and analyzing results
•It has the ability to generate embeddable C code or stand-alone executable fuzzy inference engines
•It Consists of Membership functions for creating fuzzy inference systems and also Support for AND, OR, and NOT logic in user-defined rules
•Automated membership function shaping through neuroadaptive and fuzzy clustering learning techniques and even has the ability to embed a fuzzy inference system in a Simulink model

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