R- Fuzzy sets in factor space

Interval-valued fuzzy sets, both-branch fuzzy sets and R-Fuzzy sets are three extended forms of ordinary fuzzy sets. Compared to traditional fuzzy sets, interval-valued fuzzy sets have a stronger ability to express uncertainty because they provide more choices for the descriptions of attributes. Usi...

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Main Authors: Liu, Siyuan, Mi, Honghai, Choy, Tsangcheung
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2019
Online Access:http://journalarticle.ukm.my/14465/
http://journalarticle.ukm.my/14465/1/18%20Siyuan%20Liu.pdf
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author Liu, Siyuan
Mi, Honghai
Choy, Tsangcheung
author_facet Liu, Siyuan
Mi, Honghai
Choy, Tsangcheung
author_sort Liu, Siyuan
building UKM Institutional Repository
collection Online Access
description Interval-valued fuzzy sets, both-branch fuzzy sets and R-Fuzzy sets are three extended forms of ordinary fuzzy sets. Compared to traditional fuzzy sets, interval-valued fuzzy sets have a stronger ability to express uncertainty because they provide more choices for the descriptions of attributes. Using both-branch fuzzy sets has solved some problems in engineering decision and engineering control. For R-Fuzzy sets, a new fuzzy system is constructed, with both-branch fuzzy sets as a special case. The resulting theorems improve the flexibility of uncertainty system models and expand the range of fuzzy system applications as well.
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spelling oai:generic.eprints.org:144652020-04-21T02:27:03Z http://journalarticle.ukm.my/14465/ R- Fuzzy sets in factor space Liu, Siyuan Mi, Honghai Choy, Tsangcheung Interval-valued fuzzy sets, both-branch fuzzy sets and R-Fuzzy sets are three extended forms of ordinary fuzzy sets. Compared to traditional fuzzy sets, interval-valued fuzzy sets have a stronger ability to express uncertainty because they provide more choices for the descriptions of attributes. Using both-branch fuzzy sets has solved some problems in engineering decision and engineering control. For R-Fuzzy sets, a new fuzzy system is constructed, with both-branch fuzzy sets as a special case. The resulting theorems improve the flexibility of uncertainty system models and expand the range of fuzzy system applications as well. Penerbit Universiti Kebangsaan Malaysia 2019-12 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/14465/1/18%20Siyuan%20Liu.pdf Liu, Siyuan and Mi, Honghai and Choy, Tsangcheung (2019) R- Fuzzy sets in factor space. Sains Malaysiana, 48 (12). pp. 2767-2776. ISSN 0126-6039 http://www.ukm.my/jsm/malay_journals/jilid48bil12_2019/KandunganJilid48Bil12_2019.html
spellingShingle Liu, Siyuan
Mi, Honghai
Choy, Tsangcheung
R- Fuzzy sets in factor space
title R- Fuzzy sets in factor space
title_full R- Fuzzy sets in factor space
title_fullStr R- Fuzzy sets in factor space
title_full_unstemmed R- Fuzzy sets in factor space
title_short R- Fuzzy sets in factor space
title_sort r- fuzzy sets in factor space
url http://journalarticle.ukm.my/14465/
http://journalarticle.ukm.my/14465/
http://journalarticle.ukm.my/14465/1/18%20Siyuan%20Liu.pdf