A Novel Web-based Human Advisor Fuzzy Expert System

 

Vahid Rafe*¹, Mahdi Hassani Goodarzi²

 

^1,2 Department of Computer Engineering, Faculty of Engineering, Arak University, Arak ,38156-8-8349, Iran. Department of Computer Engineering, Islamic Azad University- South Tehran Branch, Iran. *v-rafe@araku.ac.

 

ABSTRACT

The applications of the Internet-based technologies and the concepts of fuzzy expert systems (FES) have created new methods for sharing and distributing knowledge. However, there has been a general lack of investigation in the area of web-based fuzzy expert systems. In this paper, the issues associated with the design, development, and use of web-based applications from a standpoint of the benefits and challenges of development and utilization are investigated. The original theory and concepts in conventional FES are reviewed and a knowledge engineering framework for developing such systems is revised. For a human advisor to have a satisfying performance, expertise is a must. In addition, some of advisory rules are subject to change because of domain knowledge update. The human requests may have linguistic or crisp forms and a conventional expert system (ES) is not able to overcome the fuzziness in the problem nature. In this research, a Web-based fuzzy expert system for Common Human Advisor (FES-CHA) is developed and implemented to be used as a student advisor at the department's web portal. The system is implemented by using Microsoft Visual Studio .NET 2010, MVC and Microsoft SQL Server 2012.

Keywords: fuzzy expert systems, web-application, common human advisor, total average.

 

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