Fuzzy classification trees

Jane Yung jen Hsu, I. Jen Chiang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Overly generalized predictions are a serious problem in concept classification. In particular, the boundaries among classes are not always clearly defined. For example, there are usually uncertainties in diagnoses based on data from biochemical laboratory examinations. To avoid such problems, the idea of fuzzy classification is proposed. This paper presents the basic definition of fuzzy classification trees along with their construction algorithm. Instead of determining a single class for any given instance, fuzzy classification predicts the degree of possibility for every class.

Original languageEnglish
Title of host publicationProceedings of the Joint Conference on Intelligent Systems/ISAI/IFIS
Editors Anon
PublisherIEEE
Pages431-438
Number of pages8
Publication statusPublished - 1996
Externally publishedYes
EventProceedings of the 1996 1st Joint Conference on Intelligent Systems/ISAI/IFIS - Cancun, Mex
Duration: Nov 12 1996Nov 15 1996

Other

OtherProceedings of the 1996 1st Joint Conference on Intelligent Systems/ISAI/IFIS
CityCancun, Mex
Period11/12/9611/15/96

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Hsu, J. Y. J., & Chiang, I. J. (1996). Fuzzy classification trees. In Anon (Ed.), Proceedings of the Joint Conference on Intelligent Systems/ISAI/IFIS (pp. 431-438). IEEE.