Multi-criteria assessment of cellular mobile telephone service providers using intuitionistic fuzzy WASPAS method with similarity measures

Abstract

The objective of this paper is to construct an outline to explore the performance of cellular mobile telephone service providers (TSPs) in the Madhya Pradesh (MP) (including CG) circle, India. The data for the analysis has been considered from the Telecom Regulatory Authority of India (TRAI), Jan–March 2017. Most of the data fluctuate from month by month. As a result, these small deviations in the data are integrated in the current research with the intuitionistic fuzzy numbers (IFNs). The present research employs an intuitionistic fuzzy Weighted Aggregated Sum Product Assessment (IF-WASPAS) method to compare the performance of TSPs. Proposed method is based on the IFSs operators, and a new method for calculation of criteria weights. For the computation of criteria weights, we aggregate the subjective weights articulated by the decision experts with the objective weights derived from similarity measure method to achieve more reasonable weights. To compute the objective weight, new similarity measures are developed for IFSs and demonstrated various elegant properties of the proposed similarity measures. Finally, to express the strength and applicability of the proposed method, a case study to compare the performance of TSPs is considered. Next, a sensitivity analysis with different criteria weights and various values of parameters is presented to illustrate the strength of the developed IF-WASPAS method. A comparison is discussed between the developed method and some existing ones for certifying the developed method. Present analysis demonstrates that aggregating the subjective and objective weights can facilitate to enhance the stability of the developed method with different criteria weights.