| Author(s) |
Despi, Ioan
Song, Gu Yin
Chakrabarty, Kankana
|
| Publication Date |
2011
|
| Abstract |
When modeling complex systems, conventional methodologies are recognized to be limited. Because of their fuzzy feedback structure of causality, Fuzzy Cognitive Maps (FCMs) have been seen as a promising alternative in multiple domains as a support for decision making and systems modeling. In an attempt to improve this framework, we extend it by considering both determinacy and indeterminacy of experts when assigning weights to causal relations between concepts such that a new initutionistic fuzzy method for constructing FCMs is considered. The proposed method largely improves the accuracy of evaluating weights of edges in the FCM models and avoids subjectiveness and indeterminacy while experts are designing the models.
|
| Citation |
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), v.1, p. 593-597
|
| ISBN |
9781612841816
|
| Link | |
| Language |
en
|
| Publisher |
Institute of Electrical and Electronics Engineers (IEEE)
|
| Title |
A New Intuitionitic Fuzzy Cognitive Maps Building Method
|
| Type of document |
Conference Publication
|
| Entity Type |
Publication
|
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