Multi-Criteria Decision Making in College Councils Using A Fuzzy Linguist Preferences

Abstract

As it is known, making a successful decisions is not an easy task, because these decisions affect by many circumstances and depend on set of factors. It is necessary that the decision-making in colleges must be subject to the voting of the members of the college council. The traditional way for issuance the decision can be computed through counting the voters. There are three options for voting: agree, disagree, or conservative. This kind of voting ignores various degrees of opinions and preferences. Some situations that require decision making are difficult because they have uncertain and fuzzy environments. This paper aims to use a new method for making the decision in the college, depending on a fuzzy decision scheme. This work uses data from four colleges to evaluate the projects that will be implemented. Data collection was accomplished by using a table of preferences and presenting it to the College Council members to give their opinions. The preferences table provides various degrees of opinions instead of the traditional method. Exploiting the Multi-Criteria Decision Making (MCDM) in a fuzzy method requires using different mechanisms for ranking the alternatives according to their importance. Evaluation of the results will determine which one of the alternatives or the criteria has more importance comparing with the others. The results prove that Fuzzy Linguist Preferences can solve many real problems. This work gives the total process about how to solve multiple alternatives decision making problems using analytic hierarchical process in fuzzy and builds a fuzzy evaluating scheme which prioritized the relative weights of the alternatives.