Efficient fuzzy cognitive modeling for unstructured information
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Wong, K.W., Gedeon, T. and Kóczy, L.T. (2006) Efficient fuzzy cognitive modeling for unstructured information. In: IEEE International Conference on Fuzzy Systems, 16-21 July 2006, Vancouver, BC.
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Link to Published Version: http://dx.doi.org/10.1109/FUZZY.2006.1681737
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Abstract
This paper presents an efficient fuzzy cognitive modeling which can handle granulation, organisation and causation. This cognitive modeling technique consists of multiple levels where the lowest level includes details required to make a decision or to transfer to the next stage. This Fuzzy Cognitive Modeling will enhance the usability of fuzzy theory in modeling complex systems as well as facilitating complex decision making process based on ill structured or missing information or data.
| Publication Type: | Conference Paper |
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| Murdoch Affiliation: | School of Information Technology |
| Publisher: | IEEE |
| Copyright: | © 2006 IEEE. |
| Notes: | Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
| URI: | http://researchrepository.murdoch.edu.au/id/eprint/980 |
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