Based on neutrosophic fuzzy environment: a new development of FWZIC and FDOSM for benchmarking smart e-tourism applications

Abstract The task of benchmarking smart e-tourism applications based on multiple key concept attributes is considered a multi-attribute decision-making (MADM) problem. Although the literature review has evaluated and benchmarked these applications, data ambiguity vagueness continue to be unresolved issues. robustness fuzzy decision by opinion score method (FDOSM) weighted with zero inconsistency (FWZIC) proven compared that other MADM methods. Thus, this study extends FDOSM FWZIC under new environment address mentioned issues whilst applications. neutrosophic set used for purpose because its high ability handle ambiguous vague information comprehensively. Fundamentally, proposed methodology comprises two phases. first phase adopts describes matrices second presents framework in sections. In section, weight each attribute calculated through (NS-FWZIC) method. section employs weights determined NS-FWZIC benchmark all per category (tourism marketing smart-based tourism recommendation system categories) (NS-FDOSM). Findings reveal that: (1) effectively applications’ attributes. Real time receives highest importance (0.402), whereas augmented reality lowest (0.005). remaining are distributed between. (2) context group decision-making, NS-FDOSM uniform variation found individual results across categories. Systematic ranking, sensitivity analysis comparison assessments evaluate work. Finally, limitations discussed along several future directions.