A dynamic large-scale multiple attribute group decision-making method with probabilistic linguistic term sets based on trust relationship and opinion correlation
DOI10.1016/j.ins.2022.07.092WikidataQ114666886 ScholiaQ114666886MaRDI QIDQ6125223
Peide Liu, Mengjiao Shen, Chuantao Du, Fei Teng
Publication date: 11 April 2024
Published in: Information Sciences (Search for Journal in Brave)
social network analysisprobabilistic linguistic term setdynamic large-scale multiple attribute group decision makingevidential reasoning theoryextended power average operator
Social networks; opinion dynamics (91D30) Decision theory (91B06) Management decision making, including multiple objectives (90B50)
Cites Work
- Interval-valued hesitant fuzzy linguistic sets and their applications in multi-criteria decision-making problems
- An interval type-2 fuzzy TOPSIS model for large scale group decision making problems with social network information
- A dynamic group MCDM model with intuitionistic fuzzy set: perspective of alternative queuing method
- Orness and parameterized RIM quantifier aggregation with OWA operators: A summary
- The evidential reasoning approach for mada under both probabilistic and fuzzy uncertainties
- A hierarchical selection algorithm for multiple attributes decision making with large-scale alternatives
- On ordered weighted averaging aggregation operators in multicriteria decisionmaking
This page was built for publication: A dynamic large-scale multiple attribute group decision-making method with probabilistic linguistic term sets based on trust relationship and opinion correlation