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[40632] Artykuł: The Use of Fuzzy Numbers in the Process of Designing Relational Fuzzy Cognitive MapsCzasopismo: Lecture Notes in Artificial Intelligence LNAI 7894; 12th International Conference ICAISC 2013, Zakopane 2013 Tom: 7894/Part 1, Strony: 376-387ISSN: 0302-9743 ISBN: 978-3-642-38657-2 Wydawca: SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY Opublikowano: 2013 Seria wydawnicza: Lecture Notes in Artificial Intelligence Autorzy / Redaktorzy / Twórcy
Grupa MNiSW: Materiały z konferencji międzynarodowej (zarejestrowane w Web of Science) Punkty MNiSW: 15 Klasyfikacja Web of Science: Proceedings Paper Web of Science Keywords: fuzzy relations  fuzzy numbers  fuzzy numbers arithmetic  relational fuzzy cognitive map  intelligent modeling  |
The paper presents a certain approach to the design and operation of fuzzy cognitive maps (FCM) of a new type, which is specified by the name of Relational Fuzzy Cognitive Map (RFCM). This approach is based on the introduction into the model a description, which is based on fuzzy numbers and fuzzy relations, so you can avoid some of the problems related to the designing (especially learning) classical structures of FCMs. Properties of fuzzy numbers arithmetic cause that the learning process as well as the subsequent operation of such a model run differently than in classical models known from the literature. There are conceptual and technical difficulties connected with this issue, but that can be overcome with the use of the methods described in the work. The proposed approach provides a complete fuzziness of all parameters at every stage of designing the model.