Hybrid hierarchical fuzzy group decision-making based on information axioms and BWM: Prototype design selection

被引：13

作者：

Ijadi Maghsoodi A. ^{[1
]}

Mosavat M. ^{[2
]}

Hafezalkotob A. ^{[3
]}

机构：

[1] Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Hesarak, Tehran

[2] Department of Industrial Design, College of Fine Arts, University of Tehran, Enghelab St, Tehran

[3] College of Industrial Engineering, Islamic Azad University, South Tehran Branch, Entezari Aly, Oskoui St, Choobi Brg, Tehran

[4] Department of Mechanical Engineering, Islamic Azad University, South Tehran Branch, Entezari Aly, Oskoui St, Choobi Brg, Tehran

来源：

Computers and Industrial Engineering | 2019年 / 127卷

关键词：

Best-Worst Method (BWM); Fuzzy Axiomatic Design (FAD); Fuzzy sets; Group decision-making; Loudspeaker prototype selection; Multi-Criteria Decision-Making (MCDM);

D O I：

10.1016/j.cie.2018.11.018

中图分类号：

学科分类号：

摘要：

The selection of the optimal conceptual design of any product is challenging due to the complexity of the customer's behavior and the competitiveness existing among production companies. The present study introduces a hierarchical group decision-making algorithm supported on Axiomatic Design principles and Best-Worst Method under fuzzy environment. A case study on the selection of conceptual prototype design for a loudspeaker is analyzed using the proposed approach. By employing the proposed hybrid multi-criteria decision-making approach, an optimal conceptual prototype design is selected among four candidate loudspeaker designs considering the problem criteria including inclusive design elements and aesthetic factors as well as environmental and sustainability issues. © 2018 Elsevier Ltd

引用

页码：788 / 804

页数：16

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