Fuzzy signature and cognitive modelling for complex decision model

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

Research output: Chapter in Book/Report/Conference proceedingChapter

5 Citations (Scopus)

Abstract

As data is getting more complex and complicated, it is increasingly difficult to construct an effective complex decision model. Two very obvious examples where such a need emerges are in the economic and the medical fields. This paper presents the fuzzy signature and cognitive modeling approach which could improve such decision models. Fuzzy signatures are introduced to handle complex structured data and problems with interdependent features. A fuzzy signature can also be used in cases where data is missing. The proposed fuzzy signature structure will be used in problems that fall into this category. This paper also investigates a novel cognitive model to extend the usage of fuzzy signatures. This Fuzzy Cognitive Signature Modelling will enhance the usability of fuzzy theory in modelling complex systems as well as facilitating complex decision making process based on ill structured information or data.

Original languageEnglish
Title of host publicationTheoretical Advances and Applications of Fuzzy Logic and Soft Computing
EditorsOscar Castillo, Patricia Melin, Oscar Montiel Ross, Roberto Sepulveda Cruz, Witold Pedrycz, Janusz Kacprzyk
Pages380-389
Number of pages10
DOIs
Publication statusPublished - Dec 1 2007

Publication series

NameAdvances in Soft Computing
Volume42
ISSN (Print)1615-3871
ISSN (Electronic)1860-0794

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ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Computational Mechanics
  • Computer Science Applications

Cite this

Wong, K. W., Gedeon, T. D., & Kóczy, L. T. (2007). Fuzzy signature and cognitive modelling for complex decision model. In O. Castillo, P. Melin, O. M. Ross, R. S. Cruz, W. Pedrycz, & J. Kacprzyk (Eds.), Theoretical Advances and Applications of Fuzzy Logic and Soft Computing (pp. 380-389). (Advances in Soft Computing; Vol. 42). https://doi.org/10.1007/978-3-540-72434-6_38