Which type of Expert System – Rule Base, Fuzzy or Neural is Most Suited for Evaluating Motivational Strategies on Human Resources:- An Analytical Case Study

Viral Nagori () and Bhushan Trivedi ()
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Viral Nagori: GLS institute of Computer technology, India
Bhushan Trivedi: GLS institute of Computer technology, India

International Journal of Business Research and Management (IJBRM), 2012, vol. 3, issue 5, 249-254

Abstract: The scope of expert systems in different areas and different domains are increasing. We are working on development of the expert system for evaluating motivational strategy on human resources. From the literature review, we found that mainly there are three approaches used for development of the expert system: Rule base, Fuzzy and Neural network. In the first half of the case study, we explored the pros and cons of each approach and provided the comparison of applicability of which approach is most suited and when. In the second half of the case study, we explored the feasibility of the approach for our domain area of motivational strategy on human resources. At the end, we found that Neural Network approach is the most suited for our domain because of the flexibility, adaptability to the changing environment and generalisation.

Keywords: Expert System; Neural Network; Motivational Strategies (search for similar items in EconPapers)
JEL-codes: M0 (search for similar items in EconPapers)
Date: 2012
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