A Web-based Implementation of a Portfolio Advisor System Based on Fuzzy Expert Systems

Collaboration of technologies in the Internet and the field of Fuzzy expert systems have suggested new ways of sharing and distributing knowledge. However, there has been a general lack of research in the area of web-based Fuzzy expert systems (FES). This paper addresses the issues associated with the design, development, and use of web-based FES from a standpoint of the benefits and challenges of developing and using them. The original theory and concepts in conventional FES were reviewed and a knowledge engineering framework for developing them was revisited. Human in a portfolio place need an expert portfolio advisor for ask questions. Data of stock exchange is circular and portfolio advisor must update information away. The human's request is linguistic and crisp Expert System cannot solve problems completely. In my novel approach we build WebBased Fuzzy Expert System for Tehran Stock Exchange Portfolio Advisor (FES-TSEPA) and stays in branches for recommend best sale or purchase portfolio in all of portals. This system implemented with ASP.NET 3.5, SQL-SERVER 2008.