2019
DOI: 10.4236/jssm.2019.126050
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Product Conceptual Design Method Based on Intuitionistic Fuzzy Binary Semantics Group Decision Making

Abstract: Faced with a fiercely competitive market environment, enterprises are investing huge resources, such as human resource, capital and material resources to research and develop new products. The product conceptual design determines the quality, cost and reliability of the final product and is considered to be the most important stage in the product life cycle. Considering the ambiguity of information in the product conceptual design process and the interactivity of experts in selecting conceptual products, a pro… Show more

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Cited by 3 publications
(2 citation statements)
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References 31 publications
(35 reference statements)
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“…The evolutionary game-based product concept design approach proposed in 2019 [32] discusses how the concept in the product development cycle decisively affects cost and performance. In the same year, binary semantics was proposed [33], with a case study used to illustrate the method. Considering the role of information ambiguity in product concept design, an intuition-based fuzzy group decision product concept design method was suggested.…”
Section: Conceptual Design and Evaluationmentioning
confidence: 99%
“…The evolutionary game-based product concept design approach proposed in 2019 [32] discusses how the concept in the product development cycle decisively affects cost and performance. In the same year, binary semantics was proposed [33], with a case study used to illustrate the method. Considering the role of information ambiguity in product concept design, an intuition-based fuzzy group decision product concept design method was suggested.…”
Section: Conceptual Design and Evaluationmentioning
confidence: 99%
“…In order to capture the uncertainty in AFs, fuzzy AFs came into being, such as [8] [9] [10] [11], in which arguments and attacks are associated with fuzzy degrees or trust degrees to indicate the trust degrees. Fuzzy argumentation system involves the theories of fuzzy sets [12], fuzzy logic [13], control and decision-making [14], etc.…”
Section: Introductionmentioning
confidence: 99%