Abstract
In sight of intuitionistic fuzzy inclination relations (IFIR), we study group decision-making (GDM) problems. We propose another way to deal with assess the relative notoriety weights of specialists by registering the questionable proof of intuitionistic fuzzy inclination relations and the normal similitude level of one individual intuitionistic inclination connection to the others. This new approach takes both objective and subjective evidence of specialists into consideration. Then, we assimilate the weights of authorities into the precise intuitionistic fuzzy inclination relations and progress a relative similarity method to originate the significances of substitutes and better of the substitutes. The balance investigation with extra techniques by two numerical examples shows the sober mindedness and supportiveness of the anticipated strategies.
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Ramesh, O., Basha, S.S., Das, R. (2021). Study on Similarity Measures in Group Decision-Making Based on Signless Laplacian Energy of an Intuitionistic Fuzzy Graph. In: Mandal, J.K., Mukhopadhyay, S., Unal, A., Sen, S.K. (eds) Proceedings of International Conference on Innovations in Software Architecture and Computational Systems. Studies in Autonomic, Data-driven and Industrial Computing. Springer, Singapore. https://doi.org/10.1007/978-981-16-4301-9_5
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