On the development of signatures for Artificial Intelligence applications

Claudiu Pozna, Péter Földesi, Radu Emil Precup, László T. Kóczy

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

Abstract

This paper illustrates developments of signatures for Artificial Intelligence (AI) applications. Since the signatures are data structures with efficient results in modeling of fuzzy inference systems and of uncertain expert systems, the paper starts with the analysis of the data structures used in AI applications from the knowledge representation and manipulation point of view. An overview on the signatures, on the operators on signatures and on classes of signatures is next given. Using the proto fuzzy inference system, these operators are applied in a new application of fuzzy inference system modeled by means of signatures and of classes of signatures.

Original languageEnglish
Title of host publicationProceedings of the 2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1304-1310
Number of pages7
ISBN (Electronic)9781479920723
DOIs
Publication statusPublished - Sep 4 2014
Event2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2014 - Beijing, China
Duration: Jul 6 2014Jul 11 2014

Publication series

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

Other

Other2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2014
CountryChina
CityBeijing
Period7/6/147/11/14

Keywords

  • Artificial Intelligence
  • expert systems
  • knowledge representation
  • proto fuzzy inference systems
  • signatures

ASJC Scopus subject areas

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

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  • Cite this

    Pozna, C., Földesi, P., Precup, R. E., & Kóczy, L. T. (2014). On the development of signatures for Artificial Intelligence applications. In Proceedings of the 2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE (pp. 1304-1310). [6891636] (IEEE International Conference on Fuzzy Systems). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/FUZZ-IEEE.2014.6891636