Single-valued neutrosophic linguistic reducible weighted MSM for tourism mobile e-commerce service quality evaluation

Abstract

The Tourism Mobile E-commerce Service Quality Evaluation (TMESQE) is of great concern to enterprises for enriching the service content of the enterprise and improving its market competitiveness. The key issue is the tremendous vagueness and reciprocity for TMESQE. The Maclaurin Symmetric Mean (MSM), as a vital fusion approach, can capture the reciprocity between multiple given arguments more effiectually. Amount of Weighted MSM (WMSM) has been presented for dealing with various neutrosophic information integration issues because the arguments are hourly interoperable. However, these kinds of WMSM operators are out of the reducibility or idempotency. To handle two problems above, we introduce Single-Valued Neutrosophic Linguistic Reducible Weighted MSM (SVNLRWMSM) operator and Single-Valued Neutrosophic Linguistic Reducible Weighted Dual MSM (SVNLRWDMSM) operator. In the meantime, the diverting properties and certain peculiar cases of developed operators are discussed. Therefore, we explore two Multi-Criteria Decision-Making (MCDM) algorithm based on SVNLRWMSM and SVNLRWDMSM for dealing with the TMESQE issue, along with the sensitivity analysis of various values on final ordering. Conclusively, the comparison of some existing algorithms has been conducted for showing their availability.