Interval-valued q-Rung Orthopair Fuzzy Choquet Integral Operators and Its Application in Group Decision Making
Benting Wan, Juelin Huang, Xi Chen

TL;DR
This paper introduces new interval-valued q-rung orthopair fuzzy Choquet integral operators and a group decision-making method that effectively handles attribute interactions, demonstrated through a hypertension warning system.
Contribution
It proposes novel IVq-ROFCA and IVq-ROFCG operators and a group decision-making framework based on these operators for complex attribute interaction scenarios.
Findings
Operators are mathematically validated with proven properties.
The decision-making method aligns with medical diagnosis results.
The approach is robust against changes in the q parameter.
Abstract
It is more flexible for decision makers to evaluate by interval-valued q-rung orthopair fuzzy set (IVq-ROFS),which offers fuzzy decision-making more applicational space. Meanwhile, Choquet integralses non-additive set function (fuzzy measure) to describe the interaction between attributes directly.In particular, there are a large number of practical issues that have relevance between attributes.Therefore,this paper proposes the correlation operator and group decision-making method based on the interval-valued q-rung orthopair fuzzy set Choquet integral.First,interval-valued q-rung orthopair fuzzy Choquet integral average operator (IVq-ROFCA) and interval-valued q-rung orthopair fuzzy Choquet integral geometric operator (IVq-ROFCG) are inves-tigated,and their basic properties are proved.Furthermore, several operators based on IVq-ROFCA and IVq-ROFCG are developed. Then, a group…
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Taxonomy
TopicsMulti-Criteria Decision Making · Optimization and Mathematical Programming · Rough Sets and Fuzzy Logic
