A Fuzzy Decision Support System For Scoring Suggestions (Case Study: Fars Regional Electric Company)

Fars Regional Electric Company is one of 16 regional energy companies in the country, which is responsible for managing power transmission in the provinces of Fars and Bushehr. The company uses a variety of management systems to promote its offering of services, which is one of these systems Suggestion System. In accordance with the executive procedure of the admission, examination and implementation system of the Suggestion System, each stage of acceptance and implementation of the Suggestion is also intended to reward the position of thought and thought. The reward of each offer is proportional to the score that it receives after approval by its specialized committee. In order to standardize the scoring for each suggestion, indicators and criteria are also included in the company's method of implementation, which is categorized in three areas of technical, non-technical and financial criteria. Given the lack of tools for calculating indices, each index must first be described and then converted into a number as a score. In this paper, while introducing the Fars Regional Electric Company, the position of the Suggestion System and the current scoring method for any Suggestion in this company, using a fuzzy inference, Using the various criteria of each Suggestion, system suggest a total score for each suggestion is close to expert opinion. The results of using this system indicate that the decision quality in the allocation of score to each Suggestion is increased and the rules in the system fuzzy inference engine provide a better score.