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Abstract
Decision-making in fuzzy environment is often a very complex, especially when related to predictions and assessments. The Ratio system approach of the MOORA method and Intervalvalued fuzzy numbers have already proved themselves as the effective tools for solving complex decision-making problems. Therefore, in this paper an extension of the Ratio system approach of the MOORA method, which allows a group decision-making as well as the use of interval-valued triangular fuzzy numbers, is proposed. Interval-fuzzy numbers are rather complex, and therefore, they are not practical for direct assigning performance ratings. For this reason, in this paper it has also been suggested the approach which allows the expression of individual performance ratings using crisp, interval or fuzzy numbers, and their further transformation into the group performance ratings, expressed in the form of interval-valued triangular fuzzy numbers, which provide greater flexibility and reality compared to the use of linguistic variables. Finally, in this paper the weighted averaging operator was proposed for defuzzification of interval-valued triangular fuzzy numbers.
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Dragisa Stanujkic
Dragisa STANUJKIC is an Associate Professor of Information Technology and Decision Sciences at the Faculty of Management in Zajecar, Megatrend University, Serbia. He received his MSc degree in Information Science and his PhD in Organizational Sciences from the Faculty of Organizational Sciences, University of Belgrade. His current research has been focused on the decision-making theory, expert systems and intelligent decision support systems.