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Linguistic Aggregation Operators: An Overview

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Fuzzy Sets and Their Extensions: Representation, Aggregation and Models

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 220))

Abstract

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.

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Author information

Authors and Affiliations

  1. Department of Management Science and Engineering School of Economics, Management Tsinghua University, Beijing 100084, China

    Zeshui Xu

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  1. Zeshui Xu
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Editors and Affiliations

  1. Department of Automatics and Computation, Universidad Pública de Navarra, Campus Arrosadia s/n, 31006 Pamplona, Spain

    Humberto Bustince

  2. Department of Computer Science and Artificial Intelligence (DECSAI), University of Granada, Periodista Daniel Saucedo Aranda s/n, 18071 Granada, Spain

    Francisco Herrera

  3. Faculty of Mathematics, Universidad Complutense, Plaza de las Ciencias 3, 28040 Madrid, Spain

    Javier Montero

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Xu, Z. (2008). Linguistic Aggregation Operators: An Overview. In: Bustince, H., Herrera, F., Montero, J. (eds) Fuzzy Sets and Their Extensions: Representation, Aggregation and Models. Studies in Fuzziness and Soft Computing, vol 220. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73723-0_9

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  • DOI: https://doi.org/10.1007/978-3-540-73723-0_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73722-3

  • Online ISBN: 978-3-540-73723-0

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