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Interval-Valued Complex Fuzzy Concept Lattice and Its Granular Decomposition

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Recent Developments in Machine Learning and Data Analytics

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 740))

Abstract

This paper introduces a mathematical model for precise analysis of uncertainty and its fluctuation in the given interval-valued fuzzy attributes. In this regard, a method is introduced for drawing the interval-valued complex lattice and its navigation at user required complex granules with demonstration.

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Author information

Authors and Affiliations

  1. Amity Institute of Information Technology, Amity University, Sector 125, Noida, 201313, Uttar Pradesh, India

    Prem Kumar Singh

  2. Department of Actuarial Science and Applied Statistics, Faculty of Business and Information Sciences, UCSI University, Jalan Menara Gadging, 56000, Cheras, Kuala Lumpur, Malaysia

    Ganeshsree Selvachandran

  3. School of Information Technology and Engineering, VIT University, Vellore, 632014, Tamil Nadu, India

    Ch. Aswani Kumar

Authors
  1. Prem Kumar Singh
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  2. Ganeshsree Selvachandran
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  3. Ch. Aswani Kumar
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Corresponding author

Correspondence to Ch. Aswani Kumar .

Editor information

Editors and Affiliations

  1. College of Engineering and Applied Science, University of Colorado Colorado Springs, Colorado Springs, CO, USA

    Jugal Kalita

  2. Automation and Applied Informatics, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

  3. Department of Computer Applications, Sikkim Manipal University, Sikkim, India

    Samarjeet Borah

  4. Department of Computer Applications, Sikkim Manipal University, Sikkim, India

    Ratika Pradhan

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Singh, P.K., Selvachandran, G., Aswani Kumar, C. (2019). Interval-Valued Complex Fuzzy Concept Lattice and Its Granular Decomposition. In: Kalita, J., Balas, V., Borah, S., Pradhan, R. (eds) Recent Developments in Machine Learning and Data Analytics. Advances in Intelligent Systems and Computing, vol 740. Springer, Singapore. https://doi.org/10.1007/978-981-13-1280-9_26

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