A Novel Web-based Human Advisor Fuzzy Expert System

Abstract

The applications of the Internet-based technologies and the concepts of fuzzy expert systems (FES) have creatednew methods for sharing and distributing knowledge. However, there has been a general lack of investigation in thearea of web-based fuzzy expert systems. In this paper, the issues associated with the design, development, and useof web-based applications from a standpoint of the benefits and challenges of development and utilization areinvestigated. The original theory and concepts in conventional FES are reviewed and a knowledge engineeringframework for developing such systems is revised. For a human advisor to have a satisfying performance, expertise isa must. In addition, some of advisory rules are subject to change because of domain knowledge update. The humanrequests may have linguistic or crisp forms and a conventional expert system (ES) is not able to overcome thefuzziness 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. Thesystem is implemented by using Microsoft Visual Studio .NET 2010, MVC and Microsoft SQL Server 2012.