Geodesic
Wide usage of various-valued logic functions with help of neural networks in decision-making systems
News of the Kabardin-Balkar scientific center of RAS, no. 6 (2016), pp. 24-29.

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In this paper we propose a method for representing various-valued logic function in a logical neural network. This logical neural network will keep the totality of cause-and-effect relationships identified using various-valued logic functions within a given specified area. Thus, it becomes possible to transfer a logical algorithm to detect hidden patterns in a given specified area, in case when the values of logical variables are not well-defined and values obscured between zero and one are present. These logic operations are implemented by special logic neural cells–conjunctors and disjunctors.
Keywords: predicate, predicate atomicity, various-valued logical function logical neural network, fuzzy logic variable. 
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D. P. Dimitrichenko. Wide usage of various-valued logic functions with help of neural networks in decision-making systems. News of the Kabardin-Balkar scientific center of RAS, no. 6 (2016), pp. 24-29. http://geodesic.mathdoc.fr/item/IZKAB_2016_6_a3/

[1] L. A. Lyutikova, A. V. Timofeev, V. V. Sgurev, V. I. Iotsov, “Razvitie i primenenie mno-goznachnykh logik i setevykh potokov v intellektualnykh sistemakh”, Trudy SPIIRAN, 2 (2005), 114–126

[2] L. A. Lyutikova, Modelirovanie i minimizatsiya baz znanii v terminakh mnogoznachnoi logiki predikatov, Preprint, Nalchik, 2006, 33 pp.

[3] A. B. Barskii, Logicheskie neironnye seti, INTUIT; BINOM, 2007, 352 pp.

[4] D. P. Dimitrichenko, “Mnogokriterialnyi poisk topologicheskikh struktur dlya optimalnogo postroeniya lokalnykh vychislitelnykh setei”, Doklady Adygskoi (Cherkesskoi) mezhdunarodnoi akademii nauk, 14:2 (2012), 68–73