On complex bipolar fuzzy weighted aggregation operators

This study is aim to elucidate some series weighted averaging operators for aggregating the dissimilar complex bipolar fuzzy (CBF) sets by utilizing t-norm operations. The unpredictability in the data was controlled using membership degrees that are subset of real numbers, which can reduce some usef...

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Main Authors: Ali, Mabruka, Kilicman, Adem
Format: Article
Published: Poincare Publishers 2022
Online Access:http://psasir.upm.edu.my/id/eprint/102372/
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author Ali, Mabruka
Kilicman, Adem
author_facet Ali, Mabruka
Kilicman, Adem
author_sort Ali, Mabruka
building UPM Institutional Repository
collection Online Access
description This study is aim to elucidate some series weighted averaging operators for aggregating the dissimilar complex bipolar fuzzy (CBF) sets by utilizing t-norm operations. The unpredictability in the data was controlled using membership degrees that are subset of real numbers, which can reduce some useful information and therefore impact decision-making results. As a refinement to these, the complex bipolar fuzzy set controls the unpredictability with the degrees whose range is extended from the real subset to the complex with the unit disk. Hence, it handles the two-dimensional information in a single set. Finally, some new averaging aggregation operators were developed, namely; complex bipolar weighted averaging, CBF ordered weighted average, and CBF hybrid averaging. Some numerical examples are also given to illustrate the extended operators.
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institution Universiti Putra Malaysia
institution_category Local University
last_indexed 2025-11-15T13:38:26Z
publishDate 2022
publisher Poincare Publishers
recordtype eprints
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spelling upm-1023722024-04-04T03:35:41Z http://psasir.upm.edu.my/id/eprint/102372/ On complex bipolar fuzzy weighted aggregation operators Ali, Mabruka Kilicman, Adem This study is aim to elucidate some series weighted averaging operators for aggregating the dissimilar complex bipolar fuzzy (CBF) sets by utilizing t-norm operations. The unpredictability in the data was controlled using membership degrees that are subset of real numbers, which can reduce some useful information and therefore impact decision-making results. As a refinement to these, the complex bipolar fuzzy set controls the unpredictability with the degrees whose range is extended from the real subset to the complex with the unit disk. Hence, it handles the two-dimensional information in a single set. Finally, some new averaging aggregation operators were developed, namely; complex bipolar weighted averaging, CBF ordered weighted average, and CBF hybrid averaging. Some numerical examples are also given to illustrate the extended operators. Poincare Publishers 2022 Article PeerReviewed Ali, Mabruka and Kilicman, Adem (2022) On complex bipolar fuzzy weighted aggregation operators. Poincare Journal of Analysis & Applications, 9 (1). 41 - 61. ISSN 2349-6789; ESSN: 2349 – 6797 https://www.pjaa.poincarepublishers.com/volume-2022/ 10.46753/pjaa.2022.v09i01.005
spellingShingle Ali, Mabruka
Kilicman, Adem
On complex bipolar fuzzy weighted aggregation operators
title On complex bipolar fuzzy weighted aggregation operators
title_full On complex bipolar fuzzy weighted aggregation operators
title_fullStr On complex bipolar fuzzy weighted aggregation operators
title_full_unstemmed On complex bipolar fuzzy weighted aggregation operators
title_short On complex bipolar fuzzy weighted aggregation operators
title_sort on complex bipolar fuzzy weighted aggregation operators
url http://psasir.upm.edu.my/id/eprint/102372/
http://psasir.upm.edu.my/id/eprint/102372/
http://psasir.upm.edu.my/id/eprint/102372/