Abstract
From the tourists’ risk perception in the tourism supply chain, an evaluation approach that based on 2-tuple linguistic model and quality function deployment is proposed. House of quality using 2-tuple model is constructed to compute the preference of suppliers’ service factors. By using multi-granularity linguistic term aggregation approach, non-homogenous decision information problem can be solved successfully. The process of assessment criteria based on fuzzy linguistic term sets has been discussed, and at last a case study on a travel operator’s evaluation of suppliers with risk perception solved by the proposed approach is illustrated.
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Liu, M., Gao, Q. (2019). Risk Evaluation in TSC Based on Fuzzy Linguistic Information and QFD. In: Patnaik, S., Jain, V. (eds) Recent Developments in Intelligent Computing, Communication and Devices. Advances in Intelligent Systems and Computing, vol 752. Springer, Singapore. https://doi.org/10.1007/978-981-10-8944-2_4
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DOI: https://doi.org/10.1007/978-981-10-8944-2_4
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