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International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems

IPMU 2018: Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations pp 687–698Cite as

Interval Type-2 Intuitionistic Fuzzy Logic Systems - A Comparative Evaluation

Part of the Communications in Computer and Information Science book series (CCIS,volume 853)

Abstract

Several fuzzy modeling techniques have been employed for handling uncertainties in data. This study presents a comparative evaluation of a new class of interval type-2 fuzzy logic system (IT2FLS) namely: interval type-2 intuitionistic fuzzy logic system (IT2IFLS) of Takagi-Sugeno-Kang (TSK)-type with classical IT2FLS and its type-1 variant (IFLS). Simulations are conducted using a real-world gas compression system (GCS) dataset. Study shows that the performance of the proposed framework with membership functions (MFs) and non-membership functions (NMFs) that are each intervals is superior to classical IT2FLS with only MFs (upper and lower) and IFLS with MFs and NMFs that are not intervals in this problem domain.

Keywords

  • Interval type-2 intuitionistic fuzzy logic systems
  • Membership functions
  • Non-membership functions
  • Decoupled extended Kalman filter

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Acknowledgement

This research work was supported by the Government of Nigeria under the Tertiary Education Trust Fund (TETFund).

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Authors and Affiliations

  1. Automated Scheduling, Optimisation and Planning (ASAP) and Laboratory for Uncertainty in Data and Decision Making Research Groups, University of Nottingham, Nottingham, UK

    Imo Eyoh & Robert John

  2. Automated Scheduling, Optimisation and Planning (ASAP) Research Group, University of Nottingham, Nottingham, UK

    Geert De Maere

Authors
  1. Imo Eyoh
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  2. Robert John
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  3. Geert De Maere
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Corresponding author

Correspondence to Imo Eyoh .

Editor information

Editors and Affiliations

  1. Universidad de Cádiz, Cádiz, Cadiz, Spain

    Jesús Medina

  2. Universidad de Málaga, Málaga, Málaga, Spain

    Manuel Ojeda-Aciego

  3. Universidad de Granada, Granada, Spain

    José Luis Verdegay

  4. Universidad de Granada, Granada, Spain

    David A. Pelta

  5. Universidad de Málaga, Málaga, Málaga, Spain

    Inma P. Cabrera

  6. LIP6, Université Pierre et Marie Curie, CNRS, Paris, France

    Prof. Dr. Bernadette Bouchon-Meunier

  7. Iona College, New Rochelle, New York, USA

    Ronald R. Yager

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Eyoh, I., John, R., De Maere, G. (2018). Interval Type-2 Intuitionistic Fuzzy Logic Systems - A Comparative Evaluation. In: , et al. Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations. IPMU 2018. Communications in Computer and Information Science, vol 853. Springer, Cham. https://doi.org/10.1007/978-3-319-91473-2_58

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  • DOI: https://doi.org/10.1007/978-3-319-91473-2_58

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