Interval density functions in conflict analysis

Abstract

Interval density functions are non-additive probability measures representing sets of probability density functions. Pawlak proposed a novel approach called conflict analysis based on rough set theory. In this paper, we propose a new approach of presenting expert’s knowledge with interval importances and apply it to conflict analysis. It is assumed that the importance degrees are given for representing expert’s knowledge. Using conditions of interval density functions, we represent many experts’ knowledge as interval importance degrees. A simple example of the new introduced concepts is presented.