Process Capability Analysis Using Interval Type-2 Fuzzy Sets

In some cases, the specification limits of a quality characteristic should be defined under uncertain information. In the literature, process capability analyses have been handled by using type-1 fuzzy sets under fuzziness up to now. In this paper, we develop the concept of type-2 fuzzy quality and...

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Main Authors: Abbas Parchami, Sezi Çevik Onar, Başar Öztayşi, Cengiz Kahraman
Format: Article
Language:English
Published: Atlantis Press 2017-01-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Online Access:https://www.atlantis-press.com/article/25872432/view
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spelling doaj-8148490a0d104bc4b1eee08dbce5648d2020-11-25T00:16:06ZengAtlantis PressInternational Journal of Computational Intelligence Systems 1875-68832017-01-0110110.2991/ijcis.2017.10.1.48Process Capability Analysis Using Interval Type-2 Fuzzy SetsAbbas ParchamiSezi Çevik OnarBaşar ÖztayşiCengiz KahramanIn some cases, the specification limits of a quality characteristic should be defined under uncertain information. In the literature, process capability analyses have been handled by using type-1 fuzzy sets under fuzziness up to now. In this paper, we develop the concept of type-2 fuzzy quality and use it in the calculation of process capability. Lower and upper specification limits are considered as type-2 fuzzy sets. We define the addition and subtraction operations for introducing interval type-2 fuzzy process capability indices. We can calculate the nonconforming percentage of the production using the developed equations. We present some numerical examples to show the applicability of the proposed equations.https://www.atlantis-press.com/article/25872432/viewprocess capabilityfuzzy qualityinterval type-2 fuzzy setsspecification limits
collection DOAJ
language English
format Article
sources DOAJ
author Abbas Parchami
Sezi Çevik Onar
Başar Öztayşi
Cengiz Kahraman
spellingShingle Abbas Parchami
Sezi Çevik Onar
Başar Öztayşi
Cengiz Kahraman
Process Capability Analysis Using Interval Type-2 Fuzzy Sets
International Journal of Computational Intelligence Systems
process capability
fuzzy quality
interval type-2 fuzzy sets
specification limits
author_facet Abbas Parchami
Sezi Çevik Onar
Başar Öztayşi
Cengiz Kahraman
author_sort Abbas Parchami
title Process Capability Analysis Using Interval Type-2 Fuzzy Sets
title_short Process Capability Analysis Using Interval Type-2 Fuzzy Sets
title_full Process Capability Analysis Using Interval Type-2 Fuzzy Sets
title_fullStr Process Capability Analysis Using Interval Type-2 Fuzzy Sets
title_full_unstemmed Process Capability Analysis Using Interval Type-2 Fuzzy Sets
title_sort process capability analysis using interval type-2 fuzzy sets
publisher Atlantis Press
series International Journal of Computational Intelligence Systems
issn 1875-6883
publishDate 2017-01-01
description In some cases, the specification limits of a quality characteristic should be defined under uncertain information. In the literature, process capability analyses have been handled by using type-1 fuzzy sets under fuzziness up to now. In this paper, we develop the concept of type-2 fuzzy quality and use it in the calculation of process capability. Lower and upper specification limits are considered as type-2 fuzzy sets. We define the addition and subtraction operations for introducing interval type-2 fuzzy process capability indices. We can calculate the nonconforming percentage of the production using the developed equations. We present some numerical examples to show the applicability of the proposed equations.
topic process capability
fuzzy quality
interval type-2 fuzzy sets
specification limits
url https://www.atlantis-press.com/article/25872432/view
work_keys_str_mv AT abbasparchami processcapabilityanalysisusingintervaltype2fuzzysets
AT sezicevikonar processcapabilityanalysisusingintervaltype2fuzzysets
AT basaroztaysi processcapabilityanalysisusingintervaltype2fuzzysets
AT cengizkahraman processcapabilityanalysisusingintervaltype2fuzzysets
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