Intuitionistic Fuzzy-based Model for Failure Detection

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 al...

Full description

Bibliographic Details
Main Authors:	Aikhuele, Daniel Osezua, Faiz, Mohd Turan
Format:	Article
Language:	English
Published:	Springer 2016
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/15340/ http://umpir.ump.edu.my/id/eprint/15340/ http://umpir.ump.edu.my/id/eprint/15340/ http://umpir.ump.edu.my/id/eprint/15340/1/fkp-2016-faiz-Intuitionistic%20fuzzy-based.pdf

id	ump-15340
recordtype	eprints
spelling	ump-153402018-02-22T07:45:20Z http://umpir.ump.edu.my/id/eprint/15340/ Intuitionistic Fuzzy-based Model for Failure Detection Aikhuele, Daniel Osezua Faiz, Mohd Turan TK Electrical engineering. Electronics Nuclear engineering 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 Springer 2016 Article PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/15340/1/fkp-2016-faiz-Intuitionistic%20fuzzy-based.pdf Aikhuele, Daniel Osezua and Faiz, Mohd Turan (2016) Intuitionistic Fuzzy-based Model for Failure Detection. SpringerPlus, 5 (1938). pp. 1-15. ISSN 2193-1801 http://dx.doi.org/10.1186/s40064-016-3446-0 DOI: 10.1186/s40064-016-3446-0
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Aikhuele, Daniel Osezua Faiz, Mohd Turan Intuitionistic Fuzzy-based Model for Failure Detection
description	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
format	Article
author	Aikhuele, Daniel Osezua Faiz, Mohd Turan
author_facet	Aikhuele, Daniel Osezua Faiz, Mohd Turan
author_sort	Aikhuele, Daniel Osezua
title	Intuitionistic Fuzzy-based Model for Failure Detection
title_short	Intuitionistic Fuzzy-based Model for Failure Detection
title_full	Intuitionistic Fuzzy-based Model for Failure Detection
title_fullStr	Intuitionistic Fuzzy-based Model for Failure Detection
title_full_unstemmed	Intuitionistic Fuzzy-based Model for Failure Detection
title_sort	intuitionistic fuzzy-based model for failure detection
publisher	Springer
publishDate	2016
url	http://umpir.ump.edu.my/id/eprint/15340/ http://umpir.ump.edu.my/id/eprint/15340/ http://umpir.ump.edu.my/id/eprint/15340/ http://umpir.ump.edu.my/id/eprint/15340/1/fkp-2016-faiz-Intuitionistic%20fuzzy-based.pdf
first_indexed	2023-09-18T22:19:54Z
last_indexed	2023-09-18T22:19:54Z
_version_	1777415586903490560

Intuitionistic Fuzzy-based Model for Failure Detection

Similar Items