The Interval-Valued Intuitionistic Fuzzy MULTIMOORA Method for Group Decision Making in Engineering
By Edmundas Kazimieras Zavadskas, Jurgita Antucheviciene, Seyed Hossein Razavi Hajiagha, Shide Sadat Hashemi. 2015
132 citations recorded by the source corpus.
Multiple criteria decision making methods have received different extensions under the uncertain environment in recent years. The aim of the current research is to extend the application of the MULTIMOORA method (Multiobjective Optimization by Ratio Analysis plus Full Multiplicative Form) for group decision making in the uncertain environment. Taking into account the advantages of IVIFS (interval-valued intuitionistic fuzzy sets) in handling the problem of uncertainty, the development of the interval-valued intuitionistic fuzzy MULTIMOORA (IVIF-MULTIMOORA) method for group decision making is considered in the paper. Two numerical examples of real-world civil engineering problems are presented, and ranking of the alternatives based on the suggested method is described. The results are then compared to the rankings yielded by some other methods of decision making with IVIF information. The comparison has shown the conformity of the proposed IVIF-MULTIMOORA method with other approaches. The proposed algorithm is favorable because of the abilities of IVIFS to be used for imagination of uncertainty and the MULTIMOORA method to consider three different viewpoints in analyzing engineering decision alternatives.
Subfields: Control and Systems Engineering, Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/7586a9d73b7f483b495d121a277ef9f952a10fa2
Citations in the corpus
- A systematic review and meta-Analysis of SWARA and WASPAS methods: Theory and applications with recent fuzzy developments (2017, unknown): “The relatively recently developed MCDM methods, such as COPRAS [23, 128, 129], ARAS [129-131], MOORA [132], MULTIMOORA [41], SWARA [66] and WASPAS [133] are being rapidly developed and applied to solve real life problems.”