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Aggregating and Ranking Method for the Evaluation of Product Design Materials

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  • Daniel Osezua Aikhuele

    (Bells University of Technology, Ota, Nigeria)

Abstract

A new MCDM model based on a triangular intuitionistic fuzzy (TIF) aggregating and ranking model is proposed for the evaluation of adhesive materials used in joining fibre-reinforced plastic. The new model which uses the triangular intuitionistic fuzzy numbers (TIFN), TIF aggregating operators and the TIF ranking functions provides a more accurate method for assessing uncertain or imprecise information in the decision-making process. The model addresses the MCDM problem in which the available information cannot be assessed with exact numbers and requires the use of a more holistic approach which is a drawback in the existing MCDM methods used in the evaluation of design materials in literature. The result from the evaluation shows that the alternative T3 (Polyurethane) has the best chances of been used in joining the FRP with respect to the fracture mechanics-based criteria. With the ranking result presented, the study can conclude that the procedure used for the evaluation of the adhesive material has led to the selection of the best adhesive material for joining the FRP elements.

Suggested Citation

  • Daniel Osezua Aikhuele, 2019. "Aggregating and Ranking Method for the Evaluation of Product Design Materials," International Journal of Operations Research and Information Systems (IJORIS), IGI Global, vol. 10(4), pages 39-52, October.
    • Handle: RePEc:igg:joris0:v:10:y:2019:i:4:p:39-52
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