Journal
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
Volume 35, Issue 3, Pages 529-556Publisher
WILEY
DOI: 10.1002/int.22216
Keywords
aggregation operator; cognitive complex information; information fusion; probabilistic linguistic term set
Categories
Funding
- National Natural Science Foundation of China [71771156, 71971145]
- China Scholarship Council [201906240161]
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The probabilistic linguistic term set is a flexible and efficient tool to represent the cognitive complex information of experts. It has attracted many scholars' attention since it was proposed. Information fusion over the cognitive complex information is a significant issue for decision-making problems. Over the past years, more than 40 aggregation operators have been proposed to fuse the probabilistic linguistic term sets. The aim of this paper is to survey the existing probabilistic linguistic aggregation operators from the perspectives of principles, definitions, classifications, and applications. To do so, first, we summarize the present normalization techniques and operations of probabilistic linguistic term sets. Afterward, this study classifies the existing probabilistic linguistic aggregation operators into 12 kinds. Then, the application areas of these probabilistic linguistic aggregation operators are outlined. Future research directions with interests are proposed to tackle present challenges.
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