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Linguistic aggregation operators: an overview. (English) Zbl 1147.68083

Bustince, Humberto (ed.) et al., Fuzzy sets and their extensions: representation, aggregation and models. Intelligent systems from decision making to data mining, web intelligence and computer vision. Berlin: Springer (ISBN 978-3-540-73722-3/hbk). Studies in Fuzziness and Soft Computing 220, 163-181 (2008).
Summary: Linguistic aggregation operators are a powerful tool to aggregate linguistic information, which have been studied and applied in a wide variety of areas, including engineering, decision making, artificial intelligence, data mining, and soft computing. In this chapter, we provide a comprehensive survey of the existing main linguistic aggregation operators, and briefly discuss their characteristics and applications. Finally, we roughly classify all these linguistic aggregation operators and conclude with a discussion of some interesting further research directions.
For the entire collection see [Zbl 1130.68004].

MSC:

68T37 Reasoning under uncertainty in the context of artificial intelligence
68T20 Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.)