Abstract
Intuitionistic fuzzy values (IFVs), each of which consists of a membership degree, a non-membership degree, and a hesitancy degree, are a powerful tool to depict uncertain or fuzzy information. In many fields, such as decision making, cluster analysis, and information retrieval, etc., information aggregation is an essential process. Therefore, how to aggregate IFVs is an interesting and important research topic, which has received great attention from researchers and a lot of intuitionistic fuzzy aggregation techniques have been developed. This chapter offers a systematic introduction to the latest research results in intuitionistic fuzzy aggregation, the extended results in interval-valued intuitionistic fuzzy environments, and their applications in multi-attribute decision making.KeywordsIntuitionistic Fuzzy Values (IFVs)Interval-valued Intuitionistic Fuzzy Decision MatrixBonferroni MeanIntuitionistic Fuzzy Weighted Geometric (IFWG)Intuitionistic Fuzzy Sets (IFSs)These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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