Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist gegebenenfalls nur via VPN oder Shibboleth (DFN-AAI) möglich. mehr Informationen...
Advances in Fuzzy Logic and Technology 2017, 2017, Vol.642, p.176-187
2017

Details

Autor(en) / Beteiligte
Titel
Extending Formal Fuzzy Sets with Triangular Norms and Conorms
Ist Teil von
  • Advances in Fuzzy Logic and Technology 2017, 2017, Vol.642, p.176-187
Ort / Verlag
Switzerland: Springer International Publishing AG
Erscheinungsjahr
2017
Link zum Volltext
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
  • Fuzzy sets is a well-known approach to incomplete or imprecise data. Contrary to the rough sets however, the notion of fuzziness allows for quite natural description in terms of ordinary set theory used by mathematicians and computer scientists. As contemporary mathematics uses more and more methods of computer verification of theorems and discovering their proofs, it is not very strange that also in this area we could observe growing usage of automated proof-assistants. We report on the progress of the development of already well-established framework of fuzzy set theory within one of popular repositories of computerized mathematical knowledge – the Mizar Mathematical Library. Even if the original formal background was created some ten years ago, and during that time it was thoroughly redesigned in order to increase its expressive power and to follow the evolution of underlying proof language, we see the need for further modifications. In this paper, we describe the process of the parametrization of classical operations on fuzzy sets via triangular norms and conorms because as of now, classical union and intersection of corresponding membership functions were defined only based on operations of maximum, and minimum, respectively. We illustrate our development by examples taken from correct and fully verified Mizar code.
Sprache
Englisch
Identifikatoren
ISBN: 9783319668239, 3319668234
ISSN: 2194-5357
eISSN: 2194-5365
DOI: 10.1007/978-3-319-66824-6_16
Titel-ID: cdi_springer_books_10_1007_978_3_319_66824_6_16
Format
Schlagworte
Artificial intelligence

Weiterführende Literatur

Empfehlungen zum selben Thema automatisch vorgeschlagen von bX