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On aggregating uncertain information by type-2 OWA operators for soft decision making
International Journal of Intelligent Systems, Volume: 25, Issue: 6, Pages: 540 - 558
Swansea University Author: Shang-ming Zhou
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DOI (Published version): 10.1002/int.20420
Abstract
Yager's ordered weighted averaging (OWA) operator has been widely used in soft decision making to aggregate experts' individual opinions or preferences for achieving an overall decision. The traditional Yager's OWA operator focuses exclusively on the aggregation of crisp numbers. Howe...
Published in: | International Journal of Intelligent Systems |
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ISSN: | 0884-8173 1098-111X |
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2010
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URI: | https://cronfa.swan.ac.uk/Record/cronfa10067 |
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2019-07-17T15:01:46.9354149 v2 10067 2012-03-21 On aggregating uncertain information by type-2 OWA operators for soft decision making 118578a62021ba8ef61398da0a8750da 0000-0002-0719-9353 Shang-ming Zhou Shang-ming Zhou true false 2012-03-21 MEDS Yager's ordered weighted averaging (OWA) operator has been widely used in soft decision making to aggregate experts' individual opinions or preferences for achieving an overall decision. The traditional Yager's OWA operator focuses exclusively on the aggregation of crisp numbers. However, human experts usually tend to express their opinions or preferences in a very natural way via linguistic terms. Type-2 fuzzy sets provide an efficient way of knowledge representation for modeling linguistic terms. In order to aggregate linguistic opinions via OWA mechanism, we propose a new type of OWA operator, termed type-2 OWA operator, to aggregate the linguistic opinions or preferences in human decision making modeled by type-2 fuzzy sets. A Direct Approach to aggregating interval type-2 fuzzy sets by type-2 OWA operator is suggested in this paper. Some examples are provided to delineate the proposed technique. Journal Article International Journal of Intelligent Systems 25 6 540 558 0884-8173 1098-111X 30 6 2010 2010-06-30 10.1002/int.20420 COLLEGE NANME Medical School COLLEGE CODE MEDS Swansea University 2019-07-17T15:01:46.9354149 2012-03-21T16:17:09.0000000 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Shang-ming Zhou 0000-0002-0719-9353 1 Robert I John 2 Francisco Chiclana 3 Jonathan M Garibaldi 4 0010067-26042019163333.pdf INT20420_001-019.pdf 2019-04-26T16:33:33.1570000 Output 941067 application/pdf Accepted Manuscript true 2019-04-26T00:00:00.0000000 true eng |
title |
On aggregating uncertain information by type-2 OWA operators for soft decision making |
spellingShingle |
On aggregating uncertain information by type-2 OWA operators for soft decision making Shang-ming Zhou |
title_short |
On aggregating uncertain information by type-2 OWA operators for soft decision making |
title_full |
On aggregating uncertain information by type-2 OWA operators for soft decision making |
title_fullStr |
On aggregating uncertain information by type-2 OWA operators for soft decision making |
title_full_unstemmed |
On aggregating uncertain information by type-2 OWA operators for soft decision making |
title_sort |
On aggregating uncertain information by type-2 OWA operators for soft decision making |
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118578a62021ba8ef61398da0a8750da |
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118578a62021ba8ef61398da0a8750da_***_Shang-ming Zhou |
author |
Shang-ming Zhou |
author2 |
Shang-ming Zhou Robert I John Francisco Chiclana Jonathan M Garibaldi |
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Journal article |
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International Journal of Intelligent Systems |
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25 |
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10.1002/int.20420 |
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Faculty of Medicine, Health and Life Sciences |
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description |
Yager's ordered weighted averaging (OWA) operator has been widely used in soft decision making to aggregate experts' individual opinions or preferences for achieving an overall decision. The traditional Yager's OWA operator focuses exclusively on the aggregation of crisp numbers. However, human experts usually tend to express their opinions or preferences in a very natural way via linguistic terms. Type-2 fuzzy sets provide an efficient way of knowledge representation for modeling linguistic terms. In order to aggregate linguistic opinions via OWA mechanism, we propose a new type of OWA operator, termed type-2 OWA operator, to aggregate the linguistic opinions or preferences in human decision making modeled by type-2 fuzzy sets. A Direct Approach to aggregating interval type-2 fuzzy sets by type-2 OWA operator is suggested in this paper. Some examples are provided to delineate the proposed technique. |
published_date |
2010-06-30T03:20:20Z |
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1822098792515633152 |
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11.048302 |