Work

Fuzzy Clustering Data Given in the Ordinal Scale

Year: 2017

Type: article

Abstract: Afuzzy clustering algorith m for mu ltid imensional 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.

Source: International Journal of Intelligent Systems and Applications

DOI: 10.5815/ijisa.2017.01.07

Authors: Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Viktoriia O. Samitova

Institutions: Central China Normal University, Kharkiv National University of Radio Electronics

Language: English

Topic: Advanced Clustering Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funder: Central China Normal University

Award: G51219944