A Novel Web-based Human Advisor Fuzzy Expert System

• Published in: Journal of applied research and technology Vol. 11; no. 1; pp. 161 - 168
• Main Authors: Rafe, Vahid, Hassani Goodarzi, Mahdi
• Format: Journal Article
• Language: English
• Published: Elsevier España, S.L.U 01.02.2013
• Subjects: common human advisor; fuzzy expert systems; total average; web-application; web-application; total average; fuzzy expert systems; common human advisor
• ISSN: 1665-6423
• DOI: 10.1016/S1665-6423(13)71525-6

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.