Vector logic analysis of associative matrices

This article describes an infrastructure for logical analyzing associative tables (matrices), which enables to perform processing the interaction between the input vector and n-dimensional algebra-logical space, specified by using the ordered and structured tables of problem-oriented data, representing the associative behavioral models of logical objects. To estimate the interaction between vectors in algebra-logical space, the universal quality criterion is developed. It makes possible to find and evaluate the quasioptimal solution to the problems of associative logical information retrieval. Examples of the infrastructure and algebra-logical procedures, designed to solve the traditional logical analysis problems, which confirm the efficiency and practical orientation of algebraic models, are given.