Types of Expert System: Comparative Study

Authors

  • Viral Nagori GLS Institute of Computer Technology, Ahmedabad
  • Bhushan Trivedi

Keywords:

rule base expert system, fuzzy expert system, frame based expert system, neural expert system, neuro-fuzzy expert system

Abstract

The paper describes the different classifications of expert systems.  There are mainly five types of expert systems.  They are rule based expert system, frame based expert system, fuzzy expert system, neural expert system and neuro-fuzzy expert system.  We discussed the expert systems based on their knowledge representation, inference engine, working of the system and user interface.  At the end, we provided comparative study of above five types of expert systems  based on different parameters.  We can say that choice of an expert system depends on the domain requirements.

 

Author Biography

Viral Nagori, GLS Institute of Computer Technology, Ahmedabad

I am working as a professor in department of computer science and management.

References

Altock, V. (1997). Fuzzy logic and neurofuzzy applications in business and finance. New Jursey: Prentice hall.

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Chakraborty, R. C. (2010, jun 1). artificial_intelligence.html. Retrieved 1 17, 2014, from myreaders.info: myreaders.info/artificial_intelligence.html

Durkin, J. (1994). Expert system desing and development. New jersy: Prentice Hall, Englewood Cliffs.

Minsky, M. (1975). A framework for representing knowledge. The psycology of computer vision, 211-277.

Negnevitsky, M. (2008). Artifical Intelligence. Pearson Education.

Zadeh, L. (1965). Fuzzy sets, information and control. Information science, 338-353.

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Published

2014-04-13

How to Cite

Nagori, V., & Trivedi, B. (2014). Types of Expert System: Comparative Study. Asian Journal of Computer and Information Systems, 2(2). Retrieved from https://ajouronline.com/index.php/AJCIS/article/view/948

Issue

Vol. 2 No. 2 (2014): April 2014

Section

Articles

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