The compositional rule of Inference vs the Bandler-Kohout subproduct : a comparison of two standard rules of inference

• Autorzy: Miś Katarzyna , Baczyński Michał

Identyfikatory

DOI

10.15439/2022F222

• Konferencja: 17th Conference on Computer Science and Intelligence Systems
• Języki publikacji: EN

Abstrakty

EN

This contribution focuses on the most popular scheme of reasoning in approximate reasoning, generalized modus ponens. Also, we consider the case when the reasoning is performed with one fuzzy rule. Usually, the compositional rule of inference introduced by Zadeh is involved. However, it is also common to use the Bandler-Kohout subproduct. We compare these two rules showing by experimental results the conditions when applying one of them is more appropriate. We concentrate on an example of image transformation where applying a different rule of inference gives a different conclusion. Moreover, we point out some theoretical justifications for particular fuzzy connectives used in both methods (fuzzy implication functions, triangular norms and, in general, fuzzy conjunctions).

• Wydawca: Polskie Towarzystwo Informatyczne
• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2022
• Tom: Vol. 31
• Strony: 19--26
• Opis fizyczny: Bibliogr. 15 poz., fot., wykr.

Twórcy

autor

Miś Katarzyna

• University of Silesia in Katowice Bankowa 14, 40-007 Katowice, Poland

autor

Baczyński Michał

• University of Silesia in Katowice Bankowa 14, 40-007 Katowice, Poland

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).