期刊
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
卷 34, 期 12, 页码 3275-3301出版社
WILEY
DOI: 10.1002/int.22194
关键词
Choquet integral; lambda-fuzzy measure; heterogeneous; multiple criteria two-sided matching; q-rung orthopair fuzzy set
资金
- National Natural Science Foundation of China [71401026, 71432003, 61773352]
- Ministry of Education of China [19YJA630042]
- UESTC [SYLYJ2019210]
- Youth Team Program for Technology Innovation of Sichuan Province [2016TD0013]
In the real decision making, q-rung orthopair fuzzy sets (q-ROFSs) as a novel effective tool can depict and handle uncertain information in a broader perspective. Considering the interrelationships among the criteria, this paper extends Choquet integral to the q-rung orthopair fuzzy environment and further investigates its application in multicriteria two-sided matching decision making. To determine the fuzzy measures used in Choquet integral, we first define a pair of q-rung orthopair fuzzy entropy and cross-entropy. Then, by utilizing lambda-fuzzy measure theory, we propose an entropy-based method to calculate the fuzzy measures upon criteria. Furthermore, we discuss q-rung orthopair fuzzy Choquet integral operator and its properties. Thus, with the aid of q-rung orthopair fuzzy Choquet integral, we consider the preference heterogeneity of the matching subjects and further explore the corresponding generalized model and approach for the two-sided matching. Finally, a simulated example of loan market matching is given to illustrate the validity and applicability of our proposed approach.
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