Abstract
In this article, for the purpose of solving the CAD/CAM software selection problem, a multi-component hybrid fuzzy MCDM model is proposed. The main contribution of this paper is to exquisitely and rigorously assemble the already proven techniques into a holistic MCDM model. First, we apply the hierarchy structure to simultaneously specify both the criteria and the sub-criteria along with their weights in CAD/CAMselection problem.Then,we take advantage of adaptive AHP approach (A3) tool to concurrently mitigate the inconsistency rate of the AHP matrices and enhance the computational time efficiency of the considered problem. Second, since the deterministic evaluations of alternatives versus criteria are challenging task, we utilize linguistic variables which are expressed as triangular fuzzy numbers to facilitate and expedite the evaluation process. To this end, a fuzzy approach is employed to obtain the overall performance of alternatives versus criteria. Last but not least, we put to use the concept of TOPSIS to acquire the closeness coefficient to determine the ranking order of all alternatives by calculating their distances to both positive ideal and negative ideal solutions. Finally, a case study is numerically solved in automotive industry in Iran to demonstrate the efficiency (computational time reduction) and effectiveness (inconsistency ratio reduction) of our proposed hybrid MCDM model.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
