A cost-based fuzzy system for pattern classification with class importance

T. Nakashima*, Y. Yokota, H. Ishibuchi, G. Schaefer

*Corresponding author for this work

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

Abstract

This paper proposes a cost-based fuzzy classification system for pattern classification problems with an order class importance. The task here is to minimize the misclassification of patterns from an important class. It is assumed in this paper that the classification importance is given for each class, not for each pattern. Another assumtion in this paper is that only the order of importance is given for given classes without any numerical measures of importance. We show the performance of the proposed cost-based fuzzy classification system for a real-world pattern classification problem.

Original languageEnglish
Title of host publicationProceedings of the 12th International Symposium on Artificial Life and Robotis, AROB 12th'07
Pages422-425
Number of pages4
Publication statusPublished - 1 Dec 2007
Event12th International Symposium on Artificial Life and Robotics, AROB 12th'07 - Oita, United Kingdom
Duration: 25 Jan 200727 Jan 2007

Conference

Conference12th International Symposium on Artificial Life and Robotics, AROB 12th'07
CountryUnited Kingdom
CityOita
Period25/01/0727/01/07

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    Nakashima, T., Yokota, Y., Ishibuchi, H., & Schaefer, G. (2007). A cost-based fuzzy system for pattern classification with class importance. In Proceedings of the 12th International Symposium on Artificial Life and Robotis, AROB 12th'07 (pp. 422-425)