Fuzzy Clustering Data Given in the Ordinal Scale

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Author(s)

Zhengbing Hu 1,* Yevgeniy V. Bodyanskiy 2 Oleksii K. Tyshchenko 2 Viktoriia O. Samitova 2

1. School of Educational Information Technology, Central China Normal University, Wuhan, China

2. Kharkiv National University of Radio Electronics, Kharkiv, Ukraine

* Corresponding author.

DOI: https://doi.org/10.5815/ijisa.2017.01.07

Received: 16 Feb. 2016 / Revised: 11 Jun. 2016 / Accepted: 15 Aug. 2016 / Published: 8 Jan. 2017

Index Terms

Computational Intelligence, Machine Learning, Categorical Data, Ordinal Scale, Fuzzy Clustering

Abstract

A fuzzy clustering algorithm for multidimensional data is proposed in this article. The data is described by vectors whose components are linguistic variables defined in an ordinal scale. The obtained results confirm the efficiency of the proposed approach.

Cite This Paper

Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Viktoriia O. Samitova,"Fuzzy Clustering Data Given in the Ordinal Scale", International Journal of Intelligent Systems and Applications(IJISA), Vol.9, No.1, pp.67-74, 2017. DOI:10.5815/ijisa.2017.01.07

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