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Intuitionistic Fuzzy-based Model for Failure Detection

Aikhuele, Daniel Osezua and Faiz, Mohd Turan (2016) Intuitionistic Fuzzy-based Model for Failure Detection. SpringerPlus, 5 (1938). pp. 1-15. ISSN 2193-1801

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Abstract

In identifying to-be-improved product component(s), the customer/user requirements which are mainly considered, and achieved through customer surveys using the quality function deployment (QFD) tool, often fail to guarantee or cover aspects of the product reliability. Even when they do, there are always many misunderstandings. To improve the product reliability and quality during product redesigning phase and to create that novel product(s) for the customers, the failure information of the existing product, and its component(s) should ordinarily be analyzed and converted to appropriate design knowledge for the design engineer. In this paper, a new intuitionistic fuzzy multi-criteria decision-making method has been proposed. The new approach which is based on an intuitionistic fuzzy TOPSIS model uses an exponential-related function for the computation of the separation measures from the intuitionistic fuzzy positive ideal solution (IFPIS) and intuitionistic fuzzy negative ideal solution (IFNIS) of alternatives. The proposed method has been applied to two practical case studies, and the result from the different cases has been compared with some similar computational approaches in the literature

Item Type: Article
Uncontrolled Keywords: Exponential related function, Intuitionistic fuzzy entropy, Intuitionistic fuzzy TOPSIS, Failure detection, Product redesign
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Manufacturing Engineering
Depositing User: Noorul Farina Arifin
Date Deposited: 16 Nov 2016 07:01
Last Modified: 22 Feb 2018 07:45
URI: http://umpir.ump.edu.my/id/eprint/15340
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