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Clustering analysis is a key technique in reducing the dimensionality of high volume irregular data containing large‐scale group decision‐making (LSGDM) information. Uncertainty theory is suitable for subjective estimation or situation, such as lack of historical data, and it can be employed to effectively express the uncertainty of trust and preference information in LSGDM problems. This paper studies...
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