Construction of cosine-based intuitionistic fuzzy similarity measures: Applications in decision making and attribute reduction.
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| Title: | Construction of cosine-based intuitionistic fuzzy similarity measures: Applications in decision making and attribute reduction. |
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| Authors: | Khan, Muhammad Jabir1 (AUTHOR) jabirkhan@ntu.edu.cn, Akram, Muhammad2 (AUTHOR) m.akram@pucit.edu.pk, Alreshidi, Nasser Aedh3 (AUTHOR) nasser.alreshidi@nbu.edu.sa, Ding, Weiping1,4 (AUTHOR) ding.wp@ntu.edu.cn |
| Source: | Expert Systems with Applications. May2026, Vol. 311, pN.PAG-N.PAG. 1p. |
| Subjects: | Decision making, Feature selection, Fuzzy sets, Renewable energy sources, TOPSIS method, Entropy (Information theory), Rank correlation (Statistics) |
| Abstract: | This paper presents a unified framework for constructing cosine-based similarity measures for intuitionistic fuzzy sets and demonstrates their effectiveness in decision-making and attribute reduction. A generator-based approach is introduced to derive a broad family of similarity measures from existing ones, complemented by alternative constructions using dissimilarity measures and functions. A general criterion for transforming similarity measures into entropy measures is established, with counterexamples provided to delineate its limitations. To validate the proposed methods, the similarity measures are integrated into the TOPSIS framework with entropy-based weighting and demonstrated through a renewable energy project selection example. In addition, an attribute reduction algorithm, enhanced through TOPSIS and Spearman's correlation, is developed to improve computational efficiency and decision quality. A systematic framework for comparing similarity measures across multiple evaluation metrics, demonstrated on a specific case study, is also proposed. Numerical experiments confirm the robustness and practical value of the approach. [ABSTRACT FROM AUTHOR] |
| Copyright of Expert Systems with Applications is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 192967725 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Construction of cosine-based intuitionistic fuzzy similarity measures: Applications in decision making and attribute reduction. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Khan%2C+Muhammad+Jabir%22">Khan, Muhammad Jabir</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> jabirkhan@ntu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Akram%2C+Muhammad%22">Akram, Muhammad</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> m.akram@pucit.edu.pk</i><br /><searchLink fieldCode="AR" term="%22Alreshidi%2C+Nasser+Aedh%22">Alreshidi, Nasser Aedh</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> nasser.alreshidi@nbu.edu.sa</i><br /><searchLink fieldCode="AR" term="%22Ding%2C+Weiping%22">Ding, Weiping</searchLink><relatesTo>1,4</relatesTo> (AUTHOR)<i> ding.wp@ntu.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Expert+Systems+with+Applications%22">Expert Systems with Applications</searchLink>. May2026, Vol. 311, pN.PAG-N.PAG. 1p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Decision+making%22">Decision making</searchLink><br /><searchLink fieldCode="DE" term="%22Feature+selection%22">Feature selection</searchLink><br /><searchLink fieldCode="DE" term="%22Fuzzy+sets%22">Fuzzy sets</searchLink><br /><searchLink fieldCode="DE" term="%22Renewable+energy+sources%22">Renewable energy sources</searchLink><br /><searchLink fieldCode="DE" term="%22TOPSIS+method%22">TOPSIS method</searchLink><br /><searchLink fieldCode="DE" term="%22Entropy+%28Information+theory%29%22">Entropy (Information theory)</searchLink><br /><searchLink fieldCode="DE" term="%22Rank+correlation+%28Statistics%29%22">Rank correlation (Statistics)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper presents a unified framework for constructing cosine-based similarity measures for intuitionistic fuzzy sets and demonstrates their effectiveness in decision-making and attribute reduction. A generator-based approach is introduced to derive a broad family of similarity measures from existing ones, complemented by alternative constructions using dissimilarity measures and functions. A general criterion for transforming similarity measures into entropy measures is established, with counterexamples provided to delineate its limitations. To validate the proposed methods, the similarity measures are integrated into the TOPSIS framework with entropy-based weighting and demonstrated through a renewable energy project selection example. In addition, an attribute reduction algorithm, enhanced through TOPSIS and Spearman's correlation, is developed to improve computational efficiency and decision quality. A systematic framework for comparing similarity measures across multiple evaluation metrics, demonstrated on a specific case study, is also proposed. Numerical experiments confirm the robustness and practical value of the approach. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Expert Systems with Applications is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.eswa.2026.131324 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: N.PAG Subjects: – SubjectFull: Decision making Type: general – SubjectFull: Feature selection Type: general – SubjectFull: Fuzzy sets Type: general – SubjectFull: Renewable energy sources Type: general – SubjectFull: TOPSIS method Type: general – SubjectFull: Entropy (Information theory) Type: general – SubjectFull: Rank correlation (Statistics) Type: general Titles: – TitleFull: Construction of cosine-based intuitionistic fuzzy similarity measures: Applications in decision making and attribute reduction. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Khan, Muhammad Jabir – PersonEntity: Name: NameFull: Akram, Muhammad – PersonEntity: Name: NameFull: Alreshidi, Nasser Aedh – PersonEntity: Name: NameFull: Ding, Weiping IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 09574174 Numbering: – Type: volume Value: 311 Titles: – TitleFull: Expert Systems with Applications Type: main |
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