Solving decision making problems using fuzzy numbers with area dominance approach

Making good decisions are very essential in any organization. However, the nature of the problems to be solved is becoming more complicated where as opposed to definiteness, elements of subjectivity and vagueness are now common. In this paper we propose a method of solving decision making problems using fuzzy number in order to cater the problem. We improvise the method of area dominance in ranking fuzzy number given by Tseng and Klein by introducing the concept of upper dominance. This proposed method can effectively rank combination of normal fuzzy numbers and non-normal fuzzy numbers. We implement the upper dominance concept in representing the confidence level of decision makers in solving problems. In addition, spread factor also incorporated in the ranking procedure in order to solve equality in ranking order. Several examples are given in the paper to illustrate the usefulness of this concept.