Extensions of the TOPSIS for group decision-making under fuzzy environment
Fuzzy Sets and Systems
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Formulation of fuzzy linear programming problems as four-objective constrained optimization problems
Applied Mathematics and Computation
Combining fuzzy AHP with MDS in identifying the preference similarity of alternatives
Applied Soft Computing
Multicriteria fuzzy assignment method: a useful tool to assist medical diagnosis
Artificial Intelligence in Medicine
Fuzzy extension of TOPSIS model for group decision making under multiple criteria
Artificial Intelligence Review
Hi-index | 12.05 |
Managers in the current business environment face with many decision making problems that affect viability of their organization. Decision making tools and evaluation instruments can help the managers to make more accurate decisions. This paper presents a new decision making tool when decision data are not crisp and the decision maker(s) want(s) to rank the alternatives during an interactive process. In this paper we propose an interactive method which uses qualitative data to calculate weights of criteria and rank the selected alternatives. Because of existence of linguistic terms in the decision matrix and the weight of each criterion which can be expressed in trapezoidal fuzzy numbers, an interactive method is proposed for ranking of each alternative with the best weight for each criterion. Using this method, decision makers can provide and modify their preference information gradually within the process of decision making so as to make the decision result more reasonable. A numerical hypothetical example has been illustrated the proposed method.