Construction and applications of a modified Fuzzy Relational Model.
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| Title: | Construction and applications of a modified Fuzzy Relational Model. |
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| Authors: | Aghili Ashtiani, Arya1, Menhaj, Mohammad Bagher1 |
| Source: | Journal of Intelligent & Fuzzy Systems. 2014, Vol. 26 Issue 3, p1547-1555. 9p. |
| Subjects: | Fuzzy relational calculus, Mathematical models, Derivatives (Mathematics), Lattice theory, Algorithms, Computer simulation |
| Abstract: | A modified fuzzy relational modeling structure is presented in this paper by proposing a fuzzy relational inner composition. This leads to an integrated framework for representing multilevel fuzzy relational equations which is able to provide multi-dimensional models of complex systems very effectively. A potentially online derivative-based identification algorithm is also presented for the proposed model. The identification procedure is based on the special t-norm-based and t-conorm-based operations leading to an easy and fast implementation of the proposed algorithm. The proposed modeling structure is customized and used for two different applications. The simulation results show high modeling capability of the proposed fuzzy relational model. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Intelligent & Fuzzy Systems is the property of Sage Publications Inc. 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 | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 94081299 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Construction and applications of a modified Fuzzy Relational Model. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Aghili+Ashtiani%2C+Arya%22">Aghili Ashtiani, Arya</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Menhaj%2C+Mohammad+Bagher%22">Menhaj, Mohammad Bagher</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Intelligent+%26+Fuzzy+Systems%22">Journal of Intelligent & Fuzzy Systems</searchLink>. 2014, Vol. 26 Issue 3, p1547-1555. 9p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Fuzzy+relational+calculus%22">Fuzzy relational calculus</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Derivatives+%28Mathematics%29%22">Derivatives (Mathematics)</searchLink><br /><searchLink fieldCode="DE" term="%22Lattice+theory%22">Lattice theory</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: A modified fuzzy relational modeling structure is presented in this paper by proposing a fuzzy relational inner composition. This leads to an integrated framework for representing multilevel fuzzy relational equations which is able to provide multi-dimensional models of complex systems very effectively. A potentially online derivative-based identification algorithm is also presented for the proposed model. The identification procedure is based on the special t-norm-based and t-conorm-based operations leading to an easy and fast implementation of the proposed algorithm. The proposed modeling structure is customized and used for two different applications. The simulation results show high modeling capability of the proposed fuzzy relational model. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Intelligent & Fuzzy Systems is the property of Sage Publications Inc. 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: 10.3233/IFS-130838 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 1547 Subjects: – SubjectFull: Fuzzy relational calculus Type: general – SubjectFull: Mathematical models Type: general – SubjectFull: Derivatives (Mathematics) Type: general – SubjectFull: Lattice theory Type: general – SubjectFull: Algorithms Type: general – SubjectFull: Computer simulation Type: general Titles: – TitleFull: Construction and applications of a modified Fuzzy Relational Model. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Aghili Ashtiani, Arya – PersonEntity: Name: NameFull: Menhaj, Mohammad Bagher IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: 2014 Type: published Y: 2014 Identifiers: – Type: issn-print Value: 10641246 Numbering: – Type: volume Value: 26 – Type: issue Value: 3 Titles: – TitleFull: Journal of Intelligent & Fuzzy Systems Type: main |
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