TITLE:
CC-Integral on Interval-Valued Sugeno Probability Measure and Precisely to Solve Uncertain Multi-Criteria Decision Making Problem
AUTHORS:
Jiaxue Wei, Hong Yang
KEYWORDS:
Fuzzy Analysis, Choquet Integral, CC-Integral, Uncertain Multi-Criteria Decision
JOURNAL NAME:
Open Journal of Applied Sciences,
Vol.16 No.2,
February
28,
2026
ABSTRACT: In the current era of big data and artificial intelligence, multi-criteria decision-making is facing numerous uncertain issues such as incomplete information and ambiguous evaluation. Nevertheless, the traditional precise mathematical models have significant limitations when it comes to expressing these uncertainties. In order to better address these kinds of uncertainty issues, the CC-integral on the interval-valued Sugeno probability measure has been proposed in this paper. By introducing the Choquet integral based on the Copula, a reasonable measure and integral are established to solve the complexity of the decision environment. Among them, due to different Copula functions, the application of the Choquet integral based on Copula is more extensive. So as to verify the effectiveness of the proposed method, it was applied to the end-of-life (EOL) strategy problem. Comparing with the decision results of the Choquet integral based on triangular norms, it is found that the method proposed in this paper is more accurate, simpler to calculate, and has a smaller computational cost.