Finding a Probabilistic Approach to Develop a Fuzzy Expert System for the Assessment of Research Projects using ANP Approach

Publish Year: 1391
نوع سند: مقاله ژورنالی
زبان: English
View: 630

This Paper With 12 Page And PDF Format Ready To Download

  • Certificate
  • من نویسنده این مقاله هستم

این Paper در بخشهای موضوعی زیر دسته بندی شده است:

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این Paper:

شناسه ملی سند علمی:

JR_IJIEPR-23-2_007

تاریخ نمایه سازی: 7 شهریور 1393

Abstract:

Nowadays, project selection is a vital decision in many organizations. Because competition among research projects in order to gain more budgets and to attain new scientific domain has increased. Due to multiple objectives and budgeting restrictions for academic research projects have led to the use of expert system for decision making by academic and research centers. The existing methods suffer from deficiencies such as solution time inefficiency, ineffective assessment process, and unclear definition of appropriate criteria. In this paper, a fuzzy expert system is developed and improved for decision making in allocating budgets to research projects, by using the analytic network process(ANP). This has led to fewer rules and regulation, faster and more accurate decision-making, fewer calculations, and less system complexity. The rules of the expert system exacted in C# environment, consider all of the conditions and factors affecting the system. We describe the results of proposed model to measure its advantages and compare to existing selection processes for 120 projects. We also discuss the potential of proposed expert system in supporting decision making. The implementation results show that this system is significantly valid in selecting high-priority projects with respect to the known criteria , decision making regarding the determination of the assessment factors, budget allocation, and providing the appropriate initiatives for the improvement of the low-priority projects.

Keywords:

Fuzzy expert system , ANP , Assessment of research project

Authors

H. Khademizare

Department of Industrial Engineering, Yazd University, Yazd, Iran.

T. Aliheidari bioki

Department of Economics, Science and Research Branch, Islamic Azad University, Yazd, Iran.