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Implementation of Fuzzy Classifier System Ability to Improve Performance for Real Time Environment


Varsha Shivaji Chaudhari , Master Of Computer Application; Prof.Tarannum S.Shaikh, Assiistant Professor of Master of Computer Application Department, A.C.Patil College of Engineering,Kharghar-410210,Navi Mumbai,Maharashtra


Fuzzy Classifier Systems, Fuzzy Logic, Expert Systems, Fuzzy Real Time Environment


An Implementation of Fuzzy Classifier Systems is described in this paper. The classifier system is based on ability to improve performance for real time environment Open environment is full of pollution in the presence of the air. One can find the physical parameters of the pollution using fuzzy logic membership functions & fuzzy cardinality and relative fuzzy cardinality. We propose also an interface that makes easier to the user the task of writing, compiling and administering the rules stored in theKnowledgeBase. Fuzzy logic is a natural basis for modelling and solving problems involving imprecise knowledge and contin-uous systems. Unfortunately, fuzzy logic systems are invariably static (once created they do not change) and subjective (the creator imparts their beliefs on the system). In this paper we address the question of whether systems based on fuzzy logic can e ectively adapt themselves to dynamic situations.

Other Details

Paper ID: IJSRDV3I40510
Published in: Volume : 3, Issue : 4
Publication Date: 01/07/2015
Page(s): 933-940

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