Application valued variable logic functions and neural networks in the decision-making system

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-andeffect relationships identified using various-valued logic functions with-in 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 are values obscured between zero and one. These logic operations are implemented by special logic neural cells: conjunctors and disjunctors.