Multivariate relationship modeling using nested fuzzy cognitive map
Soft computing is an alternative to hard and classic math models especially when it comes to uncertain and incomplete data. This includes regression and relationship modeling of highly interrelated variables with applications in curve fitting, interpolation, classification, supervised learning, gene...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universiti Kebangsaan Malaysia
2014
|
| Online Access: | http://journalarticle.ukm.my/8051/ http://journalarticle.ukm.my/8051/1/19_O._Motlagh.pdf |
| _version_ | 1848811678284644352 |
|---|---|
| author | Motlagh, O. Papageorgiou, E.l. Tang, S.H. Zamberi Jamaludin, |
| author_facet | Motlagh, O. Papageorgiou, E.l. Tang, S.H. Zamberi Jamaludin, |
| author_sort | Motlagh, O. |
| building | UKM Institutional Repository |
| collection | Online Access |
| description | Soft computing is an alternative to hard and classic math models especially when it comes to uncertain and incomplete data. This includes regression and relationship modeling of highly interrelated variables with applications in curve fitting, interpolation, classification, supervised learning, generalization, unsupervised learning and forecast. Fuzzy cognitive map (FCM) is a recurrent neural structure that encompasses all possible connections including relationships among inputs, inputs to outputs and feedbacks. This article examines a new methods for nonlinear multivariate regression using fuzzy cognitive map. The main contribution is the application of nested FCM structure to define edge weights in form of meaningful functions rather than crisp values. There are example cases in this article which serve as a platform to modelling even more complex engineering systems. The obtained results, analysis and comparison with similar techniques are included to show the robustness and accuracy of the developed method in multivariate regression, along with future lines of research. |
| first_indexed | 2025-11-14T23:50:13Z |
| format | Article |
| id | oai:generic.eprints.org:8051 |
| institution | Universiti Kebangasaan Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T23:50:13Z |
| publishDate | 2014 |
| publisher | Universiti Kebangsaan Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:generic.eprints.org:80512016-12-14T06:46:03Z http://journalarticle.ukm.my/8051/ Multivariate relationship modeling using nested fuzzy cognitive map Motlagh, O. Papageorgiou, E.l. Tang, S.H. Zamberi Jamaludin, Soft computing is an alternative to hard and classic math models especially when it comes to uncertain and incomplete data. This includes regression and relationship modeling of highly interrelated variables with applications in curve fitting, interpolation, classification, supervised learning, generalization, unsupervised learning and forecast. Fuzzy cognitive map (FCM) is a recurrent neural structure that encompasses all possible connections including relationships among inputs, inputs to outputs and feedbacks. This article examines a new methods for nonlinear multivariate regression using fuzzy cognitive map. The main contribution is the application of nested FCM structure to define edge weights in form of meaningful functions rather than crisp values. There are example cases in this article which serve as a platform to modelling even more complex engineering systems. The obtained results, analysis and comparison with similar techniques are included to show the robustness and accuracy of the developed method in multivariate regression, along with future lines of research. Universiti Kebangsaan Malaysia 2014-11 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/8051/1/19_O._Motlagh.pdf Motlagh, O. and Papageorgiou, E.l. and Tang, S.H. and Zamberi Jamaludin, (2014) Multivariate relationship modeling using nested fuzzy cognitive map. Sains Malaysiana, 43 (11). pp. 1781-1790. ISSN 0126-6039 http://www.ukm.my/jsm/ |
| spellingShingle | Motlagh, O. Papageorgiou, E.l. Tang, S.H. Zamberi Jamaludin, Multivariate relationship modeling using nested fuzzy cognitive map |
| title | Multivariate relationship modeling using nested fuzzy cognitive map |
| title_full | Multivariate relationship modeling using nested fuzzy cognitive map |
| title_fullStr | Multivariate relationship modeling using nested fuzzy cognitive map |
| title_full_unstemmed | Multivariate relationship modeling using nested fuzzy cognitive map |
| title_short | Multivariate relationship modeling using nested fuzzy cognitive map |
| title_sort | multivariate relationship modeling using nested fuzzy cognitive map |
| url | http://journalarticle.ukm.my/8051/ http://journalarticle.ukm.my/8051/ http://journalarticle.ukm.my/8051/1/19_O._Motlagh.pdf |