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A Review on Fuzzy Sets Uncertainty Modeling In Expert Systems

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A Review on Fuzzy Sets Uncertainty Modeling In Expert Systems


Kayalvizhi Subramanian | Gunasekar Thangarasu | Prof. Dr. Ramani Bai

https://doi.org/10.31142/ijtsrd19147



Kayalvizhi Subramanian | Gunasekar Thangarasu | Prof. Dr. Ramani Bai "A Review on Fuzzy Sets Uncertainty Modeling In Expert Systems" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | International Conference on Advanced Engineering and Information Technology, November 2018, pp.101-107, URL: https://www.ijtsrd.com/papers/ijtsrd19147.pdf

Expert systems are well known area of artificial intelligence and have a huge impact in various fields of life. It has been widely used in managing uncertainty and vague information, which models the ability of humans to make rational decisions. One of the challenges that expert system faced is to deal with uncertainty. Even though there are many uncertainties management approaches which can deal with problems of different types. This paper reviews the trends and general information regarding the expert systems in order to highlight, classify the different approaches in terms of the applications and target area of problem solving. The concepts and techniques used in the development of selected expert systems have discussed which are medical, agriculture, and education. These can serve as a guide in selecting suitable expert systems in their area of problem solving. It is concluded that while expert systems have great potential, they remain un-established as a useful technology due to a lack of research and documentation.

Artificial intelligence, Expert systems, Uncertainty, Fuzzy logic


IJTSRD19147
Special Issue | International Conference on Advanced Engineering and Information Technology, November 2018
101-107
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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