Logic vector analysis of associative tables

Abstract

This article describes logical analysis infrastructure of associative tables (matrices), which enables to perform processing the interaction of the input vector with n-dimensional algebra-logical space, specified by using the ordered and structured tables of problem-oriented data, which represent the associative behavioral models of logical objects. To estimate the interaction of 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.