Signatures

Definitions, operators and applications to fuzzy modelling

Claudiu Pozna, Nicuşor Minculete, Radu Emil Precup, L. Kóczy, Áron Ballagi

Research output: Contribution to journalArticle

70 Citations (Scopus)

Abstract

This paper presents a new framework for the symbolic representation of data which is referred to as signatures. The definitions of signatures and of signature trees are first given. Original operators on signatures are next presented, i.e., contraction, extension, pruning, addition, multiplication, and grafting. Attractive applications of signatures related to the modelling of fuzzy inference systems are suggested and discussed. An example is included to accompany the theoretical results.

Original languageEnglish
Pages (from-to)86-104
Number of pages19
JournalFuzzy Sets and Systems
Volume201
DOIs
Publication statusPublished - Aug 16 2012

Fingerprint

Fuzzy Modeling
Fuzzy inference
Signature
Operator
Representation of data
Fuzzy Inference System
Pruning
Contraction
Multiplication
Modeling

Keywords

  • Fuzzy inference systems
  • Fuzzy signatures
  • Operators
  • Signatures
  • Symbolic representation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Logic

Cite this

Signatures : Definitions, operators and applications to fuzzy modelling. / Pozna, Claudiu; Minculete, Nicuşor; Precup, Radu Emil; Kóczy, L.; Ballagi, Áron.

In: Fuzzy Sets and Systems, Vol. 201, 16.08.2012, p. 86-104.

Research output: Contribution to journalArticle

Pozna, Claudiu ; Minculete, Nicuşor ; Precup, Radu Emil ; Kóczy, L. ; Ballagi, Áron. / Signatures : Definitions, operators and applications to fuzzy modelling. In: Fuzzy Sets and Systems. 2012 ; Vol. 201. pp. 86-104.
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