Possibilistic information measures and selection approach

Abstract

The aim of this paper is to introduce a use of both the principle of minimal specificity (mS) and maximal buoyancy (MB) for selecting a distribution from a given set of quantitative possibility distributions. In this paper some conditions of a set of possibility distributions and weights which guarantee "always selected situation" of a possibility distribution selected by the use of these principles from the given distribution set are proposed.