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Hybrid Intelligent Systems pp 75–91Cite as

Mediative Fuzzy Logic: A Novel Approach for Handling Contradictory Knowledge

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Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 208))

Abstract

In this paper we are proposing a novel fuzzy method that can handle imperfect knowledge in a broader way than Intuitionistic fuzzy logic does (IFL). This fuzzy method can manage non-contradictory, doubtful, and contradictory information provided by experts, providing a mediated solution, so we called it Mediative Fuzzy Logic (MFL). We are comparing results of MFL, with IFL and traditional Fuzzy logic (FL).

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Author information

Authors and Affiliations

  1. CITEDI-IPN, Av. del Parque #1310, Mesa de Otay Tijuana, B. C., México

    Oscar Montiel

  2. Department of Computer Science, Tijuana Institute of Technology, 4207, Chula Vista, CA, 91909, USA.

    Oscar Castillo

Authors
  1. Oscar Montiel
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  2. Oscar Castillo
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Tijuana Institute of Technology, Tijuana, Mexico

    Oscar Castillo

  2. Department of Computer Science, Tijuana Institute of Technology, 4207, Chula Vista, CA, 91909, USA

    Patricia Melin

  3. Polish Academy of Sciences, Systems Research Institute, Newelska 6, Warszawa, 01-447, Poland

    Janusz Kacprzyk

  4. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, T6J 2V4, Canada

    Witold Pedrycz

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Montiel, O., Castillo, O. (2007). Mediative Fuzzy Logic: A Novel Approach for Handling Contradictory Knowledge. In: Castillo, O., Melin, P., Kacprzyk, J., Pedrycz, W. (eds) Hybrid Intelligent Systems. Studies in Fuzziness and Soft Computing, vol 208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-37421-3_5

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  • DOI: https://doi.org/10.1007/978-3-540-37421-3_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-37419-0

  • Online ISBN: 978-3-540-37421-3

  • eBook Packages: EngineeringEngineering (R0)

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