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Group multigranular linguistic QFD for prioritizing service designs with combined weighting method
Author(s) -
Tian Zhangpeng,
Nie Ruxin,
Wang Jianqiang,
Li Lin
Publication year - 2019
Publication title -
expert systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.365
H-Index - 38
eISSN - 1468-0394
pISSN - 0266-4720
DOI - 10.1111/exsy.12419
Subject(s) - quality function deployment , computer science , vagueness , weighting , accommodation , quality (philosophy) , service (business) , service quality , data mining , operations research , artificial intelligence , fuzzy logic , mathematics , operations management , economy , economics , radiology , philosophy , epistemology , neuroscience , biology , medicine , value engineering
Qualification for the importance degree of service designs (SDs) is an essential stage in promoting accommodation performances to satisfy customers and gain market shares. Although various methods have been applied to derive the priorities of SDs, they do not effectively deal with the vagueness of information and the heterogeneity of decision makers (DMs). This study presents an improved quality function deployment (QFD) for prioritizing SDs. Multigranular unbalanced linguistic term sets are used to capture evaluators' ratings to cope with vague information. The multigranular linguistic information is unified by using a novel uniform method. This kind of information then is represented as linguistic distribution assessments using the concept of random preferences based on possibility interpretations of weight information. A consensus‐based mathematical programming model is established to determine the weights of DMs. Moreover, a combined structure that combines maximizing deviation and best worst methods is used to derive basic weights of SDs. Finally, an illustrative example of island accommodation management in Weizhou Island is provided to demonstrate the applicability and advantages of the proposed QFD framework.