Novel competitive-cooperative learning models (cclms) based on higher order information sets

Abstract

This paper presents two novel competitive-cooperative learning models (CCLM) for achieving goals by human contenders. These models have two phases, viz., Competition phase and Cooperation phase. CCLM based on Hanman Transform (HT) is called HT-CCLM and that using a new concept termed Pervasive Information set is called PIS-CCLM. In the competition phase of HT-CCLM, each contender emulates the effort of best achiever by taking the difference of Hanman Transform values associated with the efforts of an individual and the best achiever whereas in the cooperation phase the differential of HT values of efforts of two random contenders is considered. In PIS-CCLM pervasive information value obtained from hesitancy values are used in the competition phase only. We have also carried out Wilcoxon test to establish the superiority of the proposed HT-CCLM and PIS-CCLM.