Hybrid hierarchical fuzzy group decision-making based on information axioms and BWM: Prototype design selection
| Autor: | Abteen Ijadi Maghsoodi, Mojan Mosavat, Arian Hafezalkotob, Ashkan Hafezalkotob |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
021103 operations research
General Computer Science Computer science Universal design 0211 other engineering and technologies General Engineering 02 engineering and technology Fuzzy logic Industrial engineering Axiomatic design Conceptual design Sustainability 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Product (category theory) Axiom Selection (genetic algorithm) |
| Zdroj: | Computers & Industrial Engineering. 127:788-804 |
| ISSN: | 0360-8352 |
| DOI: | 10.1016/j.cie.2018.11.018 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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