Technical and Economic Factors in the Design Model Fuzzy Smart Priority Investment Projects for Industrial: Approach Fuzzy Expert System

This article aims at designing a Fuzzy Expert System that helps select the appropriate industrial investment and prioritize the projects based on credible criteria and international standards in fuzzy environment to reduce the risk of adverse selection where possible. The main objectives of the research issue are optimizing decisions, increasing productivity and reducing investment risk that can ultimately lead to development.This article describes how to design and use fuzzy expert system and indicated the role of technical and economic criteria in selection of industrial projects. In this study, MATLAB (fuzzy inference module system) software was used to analyze the data, fuzzy inputs and outputs, establishment of rules and, ultimately, expert system output and their defuzzification, and the graphical interface. The existence of such a model in addition to helping to improve decision-making will help the development of industry and IndustrialadvancementIn order to validate this study, a case study was done and the comparison of the output of the proposed system with the experts’ opinions   approved the validity of our system. The system helps to prioritize and select industrial projects and provides recommendations in more detailed.

Keywords:

economic factors , Fuzzy Expert System , Fuzzy logic , Knowledge base , Technical Factors