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Linguistic Representation by Fuzzy Formal Concept and Interval Type-2 Feature Selection

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Intelligent Systems Design and Applications (ISDA 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 557))

Abstract

Natural language is always seen as a source of uncertainty and vagueness. Fuzzy logic (FL) is a powerful tool for representing and treating perceptions which are the inputs and outputs of a linguistic model. In fact, a linguistic representation is a methodology that moves from crisp measures to uncertain words or fuzzy concepts. This theory uses fuzzy sets to encode and represent linguistic concepts. In this paper, an interval type-2 fuzzy formal concept IT-2FFC is presented as a new approach for extracting knowledge in a linguistic model. The method represents a combination of two techniques: fuzzy formal concept (FFC) for visualizing data and interval type-2 fuzzy sets (IT-2FSs) for feature selection. The obtained results demonstrate that the method applied can help human to make subjective judgments and make decision in a knowledge model.

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Acknowledgment

The authors would like to acknowledge the financial support of this work by grants from General Direction of Scientific Research (DGRST), Tunisia, under the ARUB program.

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Authors and Affiliations

  1. REGIM-Lab.: REsearch Groups in Intelligent Machines, National Engineering School of Sfax, Sfax, Tunisia

    Sahar Cherif, Nesrine Baklouti & Adel M. Alimi

  2. Departement of Computer Science Faculty of Electrical Engineering and Computer Science, Ostrava, Czech Republic

    Vaclav Snasel

Authors
  1. Sahar Cherif
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  2. Nesrine Baklouti
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  3. Adel M. Alimi
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  4. Vaclav Snasel
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Corresponding author

Correspondence to Sahar Cherif .

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Editors and Affiliations

  1. Departamento de Engenharia Informática, Instituto Superior de Engenharia do Port, Porto, Portugal

    Ana Maria Madureira

  2. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs, Auburn, Washington, USA

    Ajith Abraham

  3. Polytechnic Institute of Porto, Felgueiras, Portugal

    Dorabela Gamboa

  4. Campus of Gualtar, University of Minho, Braga, Portugal

    Paulo Novais

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Cherif, S., Baklouti, N., Alimi, A.M., Snasel, V. (2017). Linguistic Representation by Fuzzy Formal Concept and Interval Type-2 Feature Selection. In: Madureira, A., Abraham, A., Gamboa, D., Novais, P. (eds) Intelligent Systems Design and Applications. ISDA 2016. Advances in Intelligent Systems and Computing, vol 557. Springer, Cham. https://doi.org/10.1007/978-3-319-53480-0_105

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  • DOI: https://doi.org/10.1007/978-3-319-53480-0_105

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-53479-4

  • Online ISBN: 978-3-319-53480-0

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