Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 이희정 | - |
dc.date.accessioned | 2017-04-24T07:32:40Z | - |
dc.date.available | 2017-04-24T07:32:40Z | - |
dc.date.issued | 2015-08 | - |
dc.identifier.citation | EXPERT SYSTEMS WITH APPLICATIONS, v. 42, NO 14, Page. 5954-5962 | en_US |
dc.identifier.issn | 0957-4174 | - |
dc.identifier.issn | 1873-6793 | - |
dc.identifier.uri | http://www.sciencedirect.com/science/article/pii/S0957417415002146 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11754/26911 | - |
dc.description.abstract | Fuzzy Cognitive Map (FCM) is a powerful approach to model the dynamics of complex systems, and has been applied in various fields, such as psychology, education, engineering, and management. The construction of FCMs has great importance for its application. The literature, however, takes it for granted that Fuzzy Cognitive Maps allow for a simple aggregation of domain knowledge from several experts without much considering holistic approaches with semantic comparison of concepts. This paper describes the method for constructing Fuzzy Cognitive Maps based on the ontology matching approach in a holistic way. The ontology matching technology through a series of proposed operations is used to find the alignment between semantically related concepts and solves the semantic ambiguity problem, thereby improving the experts-based FCM construction method. This approach enhances the effective collaboration in the heterogeneous environment of today's internet-based world, and the proposed holistic FCMs also allows the user to draw additional observations concerning the underlying system, which are not available through the individual FCMs. (C) 2015 Elsevier Ltd. All rights reserved. | en_US |
dc.description.sponsorship | This research was supported by the National Research Foundation of Korea funded by the Korea government (NRF-2010-0022827). | en_US |
dc.language.iso | en | en_US |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | en_US |
dc.subject | Fuzzy Cognitive Map | en_US |
dc.subject | Ontology matching | en_US |
dc.subject | Semantic similarity | en_US |
dc.title | Construction of holistic Fuzzy Cognitive Maps using ontology matching method | en_US |
dc.type | Article | en_US |
dc.relation.no | 14 | - |
dc.relation.volume | 42 | - |
dc.identifier.doi | 10.1016/j.eswa.2015.03.020 | - |
dc.relation.page | 5954-5962 | - |
dc.relation.journal | EXPERT SYSTEMS WITH APPLICATIONS | - |
dc.contributor.googleauthor | Lee, Dong Hee | - |
dc.contributor.googleauthor | Lee, Heejung | - |
dc.relation.code | 2015010289 | - |
dc.sector.campus | S | - |
dc.sector.daehak | DIVISION OF INDUSTRIAL INFORMATION STUDIES[S] | - |
dc.sector.department | DIVISION OF INDUSTRIAL INFORMATION STUDIES | - |
dc.identifier.pid | stdream | - |
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