A Determining Degree-Based Method for Classification Problems with Interval-Valued Attributes

Xueyan Xu (), Fusheng Yu and Runjun Wan
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Xueyan Xu: Beijing Normal University
Fusheng Yu: Beijing Normal University
Runjun Wan: Liaoning Technical University

Annals of Data Science, 2023, vol. 10, issue 2, No 6, 393-413

Abstract: Abstract The determining degree-based classification methods, new types of classification methods built in the frame of factor space theory, mainly include factorial analysis, improved factorial analysis and set subtraction and rotation calculation (S&R). This paper first compares the three methods to present a comprehensive understanding of them and claims that whether to reuse dominant factors and to use synthetic partitioning are the main differences between factorial analysis and S&R. Furthermore, this paper introduces S&R definitively and concisely through an example. Based on the investigation, we propose a novel method for classification problems with interval-valued attributes that uses a determining degree to discretize interval values, and takes S&R as one of its steps. Experimental results show that this method is effective and reasonable.

Keywords: Factor space; Determining degree; Factorial analysis; S&R; Classification; Interval-valued attribute (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s40745-022-00387-8

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