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International Journal of Advanced Research in Computer and Communication Engineering
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Review of Expert Systems based on Fuzzy logic

ER. NAVJOT KAUR, ER. NAVLEEN SINGH REKHI, ANAND NAYYAR M.Tech (ECE) Scholar, DAVIET, Jalandhar Assistant Professor, Department of Electronics and Communications Engineering, DAVIET Jalandhar Assistant Professor, Department of Computer Applications & IT, KCL Institute of Management and Technology, Jalandhar, Punjab  

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Abstract: Expert system is a computer system that emulates the decision making ability of a human expert. That is it acts in all respects like a human expert. It uses human knowledge to solve problems that would require human intelligence. The expert system represents expertise knowledge as data or rules within the computer. These rules and data can be called upon when needed to solve problems. Expert systems have been developed in such diverse areas as science, engineering, business, and medicine. In these areas, they have increased the quality, efficiency, and competitive leverage of the organizations employing the technology. The scientists and engineers have used this technology to search for oil, diagnose medical problems, and explore space. This paper provides an overview of this technology and highlights the major characteristics of expert systems with fuzzy logic along with an overview of various expert systems based on fuzzy logic.

Keywords: Fuzzy Logic, Neurofuzzy, Expert System, Fuzzification, Defuzzification

How to Cite:

[1] ER. NAVJOT KAUR, ER. NAVLEEN SINGH REKHI, ANAND NAYYAR M.Tech (ECE) Scholar, DAVIET, Jalandhar Assistant Professor, Department of Electronics and Communications Engineering, DAVIET Jalandhar Assistant Professor, Department of Computer Applications & IT, KCL Institute of Management and Technology, Jalandhar, Punjab  , β€œReview of Expert Systems based on Fuzzy logic,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)

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