Generalised Measures of Useful Directed Divergence and Information Improvement with Applications

Abstract

The present communication describes a new generalised measure of useful directed divergence based on m-l probability distributions, and a probability distribution closest to these probability distributions has been proposed. The technique has been applied in solving problems related to crops production, export, and industries. Further, a generalised measure of useful information improvement has been developed and its applications in the assessment of balanced military requirements for a country, in ranking and pattern recognition, have been discussed.