Outline

  • Abstract
  • Keywords
  • 1. Introduction
  • 2. Literature Review
  • 3. Fuzzy Decision Making System
  • 3.1. One Sample for Fuzzification of the Crisp Variable of Ta in University System
  • 3.2. Rule Extraction
  • 3.3. Publishing the System on the Web
  • 3.4. One Application of the Proposed System in a University Portal
  • 4. a Look Inside the System
  • 4.1. Implementation Environment
  • Web Application Layer
  • Business Facade, Business Rules Layer
  • Data Access Layer
  • 4.2. Advantages of Fuzzy Expert Systems
  • 5. One Experimental Result of Common Advisor System in University
  • 6. Conclusion
  • Acknowledgements
  • Appendix 1. System Object Model
  • References

رئوس مطالب

  • چکیده
  • کلیدواژه ها
  • 1. مقدمه
  • 2. مرور مقالات (ادبیات تحقیق)
  • 3. سیستم تصمیم گیری فازی
  • 3.1. نمونه ای برای فازی سازی متغیر قطعی TA در سیستم دانشگاه
  • 3.2. استخراج قاعده
  • 3.3. انتشار سیستم در وب
  • 3.4. یک برنامه کاربردی برای سیستم پیشنهادی در پورتال دانشگاه
  • 4. نظری بر درون سیستم
  • 4.1. محیط پیاده سازی
  • 4.2. مزایای سیستم های خبره فازی
  • 5. یکی از نتایج تجربی سیستم مشاور عمومی در دانشگاه
  • 6. نتیجه گیری

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: - - -

Conclusions

This paper glanced at the definitions and introductory concepts of fuzzy logic and fuzzy decision making and some implemented examples of such systems were presented. Finally, a web-based student consulting expert system was proposed and its capability in enhancing the consulting process has been shown.

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