Multi-attribute group decision-making process based on possibility degree and operators for intuitionistic multiplicative set

Abstract This paper aims to present a novel multiple attribute group decision-making process under the intuitionistic multiplicative preference set environment. In it, Saaty’s 1/9-9 scale is used express imprecise information which asymmetrical distribution about 1. To achieve work divided into three folds. First, concept of connection number-based (CN-IMS) formulated by considering degrees namely “identity”, “contrary”, and “discrepancy” study their features. Second, rank given number, we define possibility degree measure compute within objects. Finally, several aggregation operators on pairs numbers are designed investigated fundamental inequalities relations. explain presented measures operators, approach promoted solve problems with uncertain illustrated examples. The advantages, comparative, as well perfection analysis proposed framework furnished confirm approach.