A Multi-Granularity 2-Tuple QFD Method and Application to Emergency Routes Evaluation

Yanlan Mei · Yingying Liang · Yan Tu

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Quality Function Deployment in Product Design Multi-Criteria Decision Making Optimization and Mathematical Programming

Abstract

Quality function deployment (QFD) is an effective approach to satisfy the customer requirements (CRs). Furthermore, accurately prioritizing the engineering characteristics (ECs) as the core of QFD is considered as a group decision making (GDM) problem. In order to availably deal with various preferences and the vague information of different experts on a QFD team, multi-granularity 2-tuple linguistic representation is applied to elucidate the relationship and correlation between CRs and ECs without loss of information. In addition, the importance of CRs is determined using the best worst method (BWM), which is more applicable and has good consistency. Furthermore, we propose considering the relationship matrix and correlation matrix method to prioritize ECs. Finally, an example about evaluating emergency routes of metro station is proposed to illustrate the validity of the proposed methodology.

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2014Best-worst multi-criteria decision-making method 2000A 2-tuple fuzzy linguistic representation model for computing with words 2001A model based on linguistic 2-tuples for dealing with multigranular hierarchical linguistic contexts in multi-expert decision-making 2000A fusion approach for managing multi-granularity linguistic term sets in decision making 2012An overview on the 2-tuple linguistic model for computing with words in decision making: Extensions, applications and challenges 2007Group decision making based on multiple types of linguistic preference relations 2004An evaluation approach to engineering design in QFD processes using fuzzy goal programming models 2011Some dependent aggregation operators with 2-tuple linguistic information and their application to multiple attribute group decision making

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