Determination the Priority of Managerial Decisions Using Fuzzy Logic

Abstract

Management considers one of the most critical factors for success, whether personally, in institutions, or even the country. The mission of management, in general, is making the best decisions within the available resources. Therefore, this matter requires qualified decision makers with high experience, clear data, and other factors that help them make accurate decisions. The easiest and most widespread decisions are based on quantitative numerical data because of their clarity and ease of treatment, mainly when the decisions depend on calculations and results of these data. However, in most other cases, the decision-makers treat linguistic variables to make the best decisions. This paper introduces a novel idea based on machine learning in linguistic managerial decision-making. The proposed Artificial neural network approach is based on linguistic data and the priority to support decision-makers in their tasks by simulating human thinking. Three scenarios are suggested, tested, and compared to verify the applicability of the proposed approach.