Efficient fuzzy cognitive modeling for unstructured information

Kok Wai Wong, Tamás D. Gedeon, László T. Kóczy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publication2006 IEEE International Conference on Fuzzy Systems
Pages358-363
Number of pages6
DOIs
Publication statusPublished - Dec 1 2006
Event2006 IEEE International Conference on Fuzzy Systems - Vancouver, BC, Canada
Duration: Jul 16 2006Jul 21 2006

Publication series

NameIEEE International Conference on Fuzzy Systems
ISSN (Print)1098-7584

Other

Other2006 IEEE International Conference on Fuzzy Systems
CountryCanada
CityVancouver, BC
Period7/16/067/21/06

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ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics

Cite this

Wong, K. W., Gedeon, T. D., & Kóczy, L. T. (2006). Efficient fuzzy cognitive modeling for unstructured information. In 2006 IEEE International Conference on Fuzzy Systems (pp. 358-363). [1681737] (IEEE International Conference on Fuzzy Systems). https://doi.org/10.1109/FUZZY.2006.1681737