Soft information set and its application in multi criteria decision making

Abstract

An information source value is perceived differently by different agents. In this paper, we present a new knowledge representation structure, termed as soft information set (SIS), to provide a parameterized representation of the information values, as perceived by an agent. The properties of SIS are investigated and the notion of relations in SIS is devised. SIS has potential to facilitate multi-criteria decision making (MCDM) under uncertainty, involving different information source values and agents. Its usefulness as a uncertainty representation tool in MCDM is illustrated through case-studies.