| Autor: |
Abadi Asmae, Zemmouri El Moukhtar, Sekkat Souhail, Ben-Azza Hussain |
| Rok vydání: |
2017 |
| Předmět: |
|
| Zdroj: |
2017 Intelligent Systems and Computer Vision (ISCV). |
| DOI: |
10.1109/isacv.2017.8054953 |
| Popis: |
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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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