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

T. Nakashima; Y. Yokota; H. Ishibuchi; G. Schaefer

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/Published conference output › Conference 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 language	English
Title of host publication	Proceedings of the 12th International Symposium on Artificial Life and Robotis, AROB 12th'07
Pages	422-425
Number of pages	4
Publication status	Published - 1 Dec 2007
Event	12th International Symposium on Artificial Life and Robotics, AROB 12th'07 - Oita, United Kingdom Duration: 25 Jan 2007 → 27 Jan 2007

Conference

Conference	12th International Symposium on Artificial Life and Robotics, AROB 12th'07
Country/Territory	United Kingdom
City	Oita
Period	25/01/07 → 27/01/07

Cite this

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title = "A cost-based fuzzy system for pattern classification with class importance",

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.",

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AU - Ishibuchi, H.

AU - Schaefer, G.

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N2 - 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.

AB - 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.

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M3 - Conference publication

AN - SCOPUS:78549285274

SN - 9784990288013

SP - 422

EP - 425

BT - Proceedings of the 12th International Symposium on Artificial Life and Robotis, AROB 12th'07

T2 - 12th International Symposium on Artificial Life and Robotics, AROB 12th'07

Y2 - 25 January 2007 through 27 January 2007

ER -

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

Abstract

Conference

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