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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 arises tremendous vagueness and reciprocity for TMESQE. The Maclaurin symmetric mean (MSM), as a vital information fusion tool, can capture the reciprocity among multiple given argument more effectually. Amount of weighted MSMs have been presented for dealing various neutrosophic information integration issues because the arguments are hourly interoperable. However, these kinds of weighted MSM (WMSM) operators are out of the reducibility or idempotency. To solve two above issues, we introduce the single-valued neutrosophic linguistic reducible WMSM (SVNLRWMSM) operator and the single-valued neutrosophic linguistic reducible weighted dual MSM (SVNLRWDMSM) operator. In the meantime, certain interesting properties and some special cases of developed operators are explored in detail. Whereafter, we develop two multiple attribute decision making (MADM) algorithms based on SVNLRWMSM and SVNLRWDMSM for dealing the TMESQE issue, along with the sensitivity analysis of various parameter values on final ordering. Conclusively, a comparison with some existing algorithms has been conducted for showing their availability.

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