Representing Uncertainty in Group Decision Making Through the Hesitant Information Set Approach

Abstract

\n In multi attribute group decision making (MAGDM), different types of un- certainties co-exist on account of hesitancy, vagueness, and incompleteness besides the diversity in evaluations. To cater to this problem of represent- ing such uncertain evaluations in their original form, new datastructures have been proposed. In this regard, the concept of hesitant information set (HIS) [Applied Soft Computing, 2018] is of great significance. To add to its usefulness in the representation of vague evaluations, it is extended to the continuous and interval-valued domains. A number of illustrative examples are included to show their worth in the real world group decision-making. The basic operations for them, along with their properties, are investigated. A real case-study is included.