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dc.contributor.authorNuriyev, Aziz-
dc.contributor.authorBaysal, Ahmet Bahadir-
dc.identifier.citation11th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions and Artificial Intelligence - ICSCCW-2021en_US
dc.identifier.isbn978-3-030-92127-9 (eBook)-
dc.identifier.issn2367-3389 (electronic)-
dc.description.abstractIn this study, we are analyzing the possibility of using Z-numbers for measuring the service quality and decision-making for quality improvement in the hotel industry. Techniques used for these purposes are based on consumer evalu- ations - expectations and perceptions. As a rule, these evaluations are expressed in crisp numbers (Likert scale) or fuzzy estimates. However, descriptions of the respondent opinions based on crisp or fuzzy numbers formalism not in all cases are relevant. The existing methods do not take into account the degree of con- fidence of respondents in their assessments. A fuzzy approach better describes the uncertainties associated with human perceptions and expectations. Linguis- tic values are more acceptable than crisp numbers. To consider the subjective natures of both service quality estimates and confidence degree in them, the two- component Z-numbers Z = (A, B) were used. Z-numbers express more adequately the opinion of consumers. The proposed and computationally efficient approach (Z-SERVQUAL, Z-IPA) allows to determine the quality of services and iden- tify the factors that required improvement and the areas for further development. The suggested method was applied to evaluate the service quality in small and medium-sized hotels in Turkey and Azerbaijan, illustrated by the example.en_US
dc.relation.ispartofseriesVol. 362;-
dc.subjectHotel service qualityen_US
dc.subjectFuzzy numberen_US
dc.titleZ-Numbers-Based Approach to Hotel Service Quality Assessmenten_US
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