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. 
@article{IZKAB_2016_6_a3,
     author = {D. P. Dimitrichenko},
     title = {Wide usage of various-valued logic functions with help of neural networks in decision-making systems},
     journal = {News of the Kabardin-Balkar scientific center of RAS},
     pages = {24--29},
     publisher = {mathdoc},
     number = {6},
     year = {2016},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/IZKAB_2016_6_a3/}
}
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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/