Aggregation Operator and Its Application in Assessing First-Class Discipline Construction in Industry-Characteristic Universities

Abstract

To effectively deal with the uncertainty of value assessments of industry-characteristic universities, this paper proposes a new fuzzy multi-attribute assessment method. Firstly, we define the complex cubic fractional orthotriple fuzzy set (CCFOFS) for expressing ambiguous information and present some basic operational rules and information measures. Then, we present the complex cubic fractional orthotriple fuzzy Dombi-weighted power-partitioned Muirhead mean (CCFOFDWPPMM) operator, which combines the superiority of the Dombi operations, power average (PA) operator, and partitioned Muirhead mean (PMM) operator. Further, a multi-attribute assessment method is constructed based on the CCFOFDWPPMM operator and the Integrated Determination of Objective Criteria Weights (IDOCRIW) method. Furthermore, we constructed a novel assessment index system for the construction of first-class disciplines. Finally, this paper verifies the validity and applicability of the method by applying the novel multi-attribute assessment method to a practical case of first-class discipline construction in industry-characteristic universities.