Home   >   CSC-OpenAccess Library   >    Manuscript Information
Full Text Available

This is an Open Access publication published under CSC-OpenAccess Policy.
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, Bhushan Trivedi
Pages - 249 - 254     |    Revised - 15-09-2012     |    Published - 25-10-2012
Volume - 3   Issue - 5    |    Publication Date - October 2012  Table of Contents
Expert System, Neural Network, Motivational Strategies
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.
CITED BY (1)  
1 Hawi, R., Okeyo, G., & Kimwele, M. Techniques for Smart Traffic Control: An In-depth.
1 Google Scholar
2 CiteSeerX
3 Scribd
4 slideshare
5 PdfSR
1 Akerkar, R. (2005). Introduction to Artificial Intelligence. PHI.
2 Gupta, M. (2003). To Be Or Not To Be? A Study of Employee Turnover. historical.org.
3 NAASCOM. (2012, Jun 16). India Trumps US, UK On ITES Employee Turnover. Retrieved from financialexpress.com: http://www.financialexpress.com/news/india-trumps-us-uk-onites-employee-turnover/79971/
4 Negnevitsky, M. (2008). Artificial Intelligence - a guide to intelligent system. Pearson Education.
5 Vasanthi Srinivasan, R. V. (2012, Jun 21). Ideas and insight : Organisation behaviour and HR. Retrieved from iimb.ernet.in: http://www.iimb.ernet.in/newsletter/issues/91
6 Zadeh, L. (1965). Fuzzy sets, information and control.
Associate Professor Viral Nagori
GLS institute of Computer technology - India
Dr. Bhushan Trivedi
GLS institute of Computer technology - India