Enhancing decision-making flexibility by introducing a new last aggregation evaluating approach based on multi-criteria group decision making and Pythagorean fuzzy sets

• Published in: Applied soft computing 2017-12, Vol.61, p.527-535
• Main Authors: Mohagheghi, Vahid, Mousavi, S.Meysam, Vahdani, Behnam
• Format: Article
• Language: English
• Subjects: Decision makers' weights; Group decision making; Internet companies; Last aggregation approach; Pythagorean fuzzy sets (PFSs)
• ISSN: 1568-4946; 1872-9681
• DOI: 10.1016/j.asoc.2017.08.003

[Display omitted] •Presenting a new ranking method of PFSs based on the concept of ideal solutions.•Developing a new approach to compute the weight of each DM.•Introducing a new index to rank the alternatives.•Proposing a new last aggregation approach that avoids information loss.•Presenting PFSs in the group decision process to improve the flexibility. Uncertainty is an important factor in any decision-making process. Different tools and approaches have been introduced to handle the uncertain environment of group decision making. One of the latest tools in dealing with uncertainty is Pythagorean fuzzy sets (PFSs). These sets extend the concept of intuitionistic fuzzy sets. To show the advantages of these new sets, this paper offers a novel last aggregation group decision-making process for weighting and evaluating. The methodology employs a new approach in computing the weight of decision makers. Moreover, the concept of entropy is applied to address the fuzziness of weights of evaluation criteria in the process. The method develops a new index in ranking the alternatives. Finally, the proposed method is last aggregation, which means it will be more precise in situations with high variations in decision makers’ judgments. To show the applicability of the method, an example from the literature is adopted and solved for internet companies.