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Approach the Interval Type-2 Fuzzy System and PSO Technique in Landcover Classification

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Intelligent Information and Database Systems (ACIIDS 2020)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12034))

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Abstract

In fuzzy classification systems, the estimation of the optimal number of clusters and building base-rules are very important and greatly affects the accuracy of the fuzzy system. Base-rules are often built on the experience of experts, but this is not always good and the results are often unstable. Particle swarm optimization (PSO) techniques have many advantages in finding optimal solutions and have been used successfully in many practical problems. This paper proposes a method using the PSO technique to build base-rules for the interval type-2 fuzzy system (IT2FS). Experiments performed on satellite image data for the landcover classification problem have shown that the proposed method works more stably and effectively than the non-PSO technique.

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Acknowledgment

This research is funded by the Newton Fund, under the NAFOSTED - UK Academies collaboration programme. This work was supported by the Domestic Master/PhD Scholarship Programme of Vingroup Innovation Foundation (VINIF).

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Authors and Affiliations

  1. Le Quy Don Technical University, Hanoi, Vietnam

    Dinh Sinh Mai, Long Thanh Ngo & Le Hung Trinh

Authors
  1. Dinh Sinh Mai
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  2. Long Thanh Ngo
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  3. Le Hung Trinh
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Corresponding author

Correspondence to Dinh Sinh Mai .

Editor information

Editors and Affiliations

  1. Department of Applied Informatics, Wrocław University of Science and Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand

    Kietikul Jearanaitanakij

  3. Faculty of Computer Science and Information, University Teknologi Malaysia, Kuala Lumpur, Malaysia

    Ali Selamat

  4. Department of Applied Informatics, Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

  5. King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand

    Suphamit Chittayasothorn

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Mai, D.S., Ngo, L.T., Trinh, L.H. (2020). Approach the Interval Type-2 Fuzzy System and PSO Technique in Landcover Classification. In: Nguyen, N., Jearanaitanakij, K., Selamat, A., Trawiński, B., Chittayasothorn, S. (eds) Intelligent Information and Database Systems. ACIIDS 2020. Lecture Notes in Computer Science(), vol 12034. Springer, Cham. https://doi.org/10.1007/978-3-030-42058-1_34

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  • DOI: https://doi.org/10.1007/978-3-030-42058-1_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-42057-4

  • Online ISBN: 978-3-030-42058-1

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