Determination the priority of managerial decisions using fuzzy logic

Abstract

Management is one of the most critical factors for success, whether personally, in institutions, or even the country. The role of management, in general, is to make the best decisions within the available reality, and this matter requires decision-makers with high experience, clear data, and other things that help them to make a decision. We find that decisions based on quantitative numerical data are the most widespread for their ease of handling, and most of the time, the correctness is high. However, in other cases, the decision-maker handles linguistic variables, through which it can be reached to the right decision, which cannot be made using zeros and ones. Then, it may contain a graded outcome of the decisions that can select based on their priority. This paper introduces a novel idea based on artificial intelligence and machine learning in managerial decision-making. The fuzzy proposed approach is based on the linguistic data and the setting priority to help decision-makers in their tasks by simulating human thinking. Two scenarios are tested and compared to verify the applicability of the proposed approach.