Asmae, A. and Hussain, B.-A. and Souhail, S. and Moukhtar, Z.E. (2017) A fuzzy ontology-based support for multi-criteria decision-making in collaborative product development. In: UNSPECIFIED.

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One of the most critical decision points in collaborative product development is final design concept selection. This crucial stage is considered as a complicated multi-criteria decision-making problem which affects not only the subsequent design stages but the whole product lifecycle and supply chain. In fact, in addition to the fact that it is a knowledge intensive based phase, the information manipulated at this stage is mainly subjective and imprecise. Therefore, the aim of this paper is to propose a new fuzzy-ontology based approach to handle the vagueness and subjectivity in design concept evaluation and to support the decision making process at this phase. A case study is given to demonstrate the potential of the proposed methodology. © 2017 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Uncontrolled Keywords: Computer vision; Intelligent systems; Knowledge representation; Life cycle; Ontology; Product design; Product development; Semantics; Supply chains, Collaborative product developpment; Design alternatives; Fuzzy ontology; Multi criteria decision making; Reasoner; Semantic interoperability, Decision making
Subjects: Computer Science
Divisions: SCIENTIFIC PRODUCTION > Computer Science
Depositing User: Administrateur Eprints Administrateur Eprints
Last Modified: 31 Jan 2020 15:46

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