Fuzzy classification trees

Jane Yung jen Hsu; I. Jen Chiang

Fuzzy classification trees

Jane Yung jen Hsu^*
, I. Jen Chiang

^*此作品的通信作者

National Taiwan University

研究成果: 圖書/報告稿件的類型 › 會議稿件 › 同行評審

2 引文斯高帕斯（Scopus）

摘要

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.

原文	英語
主出版物標題	Proceedings ISAI / IFIS 1996 Mexico - USA Collaboration in Intelligent Systems Technologies
編輯	Rogelio Soto, Jose M. Sanchez, Francisco J. Cantu-Ortiz, Moraima Campbell
發行者	Institute of Electrical and Electronics Engineers Inc.
頁面	431-438
頁數	8
ISBN（電子）	9682994373, 9789682994371
出版狀態	已出版 - 1996
對外發佈	是
事件	1996 Mexico-USA Collaboration in Intelligent Systems Technologies - 1st Joint Conference on Intelligent Systems between the 9th International Symposium on Artificial Intelllgence, ISAI 1996 and the 6th International Conference on Industrial Fuzzy Control and Intelligent Systems, IFIS 1996 - Cancun, 墨西哥持續時間: 12 11 1996 → 15 11 1996

出版系列

名字	Proceedings ISAI / IFIS 1996 Mexico - USA Collaboration in Intelligent Systems Technologies

Conference

Conference	1996 Mexico-USA Collaboration in Intelligent Systems Technologies - 1st Joint Conference on Intelligent Systems between the 9th International Symposium on Artificial Intelllgence, ISAI 1996 and the 6th International Conference on Industrial Fuzzy Control and Intelligent Systems, IFIS 1996
國家/地區	墨西哥
城市	Cancun
期間	12/11/96 → 15/11/96

文獻附註

Publisher Copyright:
© 1996 ITESM.

其它文件與鏈接

Link to publication in Scopus

引用此

Hsu, J. Y. J., & Chiang, I. J. (1996). Fuzzy classification trees. 於 R. Soto, J. M. Sanchez, F. J. Cantu-Ortiz, & M. Campbell (編輯), Proceedings ISAI / IFIS 1996 Mexico - USA Collaboration in Intelligent Systems Technologies (頁 431-438). 文章 864150 (Proceedings ISAI / IFIS 1996 Mexico - USA Collaboration in Intelligent Systems Technologies). Institute of Electrical and Electronics Engineers Inc..

Hsu, Jane Yung jen ; Chiang, I. Jen. / Fuzzy classification trees. Proceedings ISAI / IFIS 1996 Mexico - USA Collaboration in Intelligent Systems Technologies. 編輯 / Rogelio Soto ; Jose M. Sanchez ; Francisco J. Cantu-Ortiz ; Moraima Campbell. Institute of Electrical and Electronics Engineers Inc., 1996. 頁 431-438 (Proceedings ISAI / IFIS 1996 Mexico - USA Collaboration in Intelligent Systems Technologies).

@inproceedings{534e691fd3b7405e9dbef7ca53514393,

title = "Fuzzy classification trees",

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.",

author = "Hsu, \{Jane Yung jen\} and Chiang, \{I. Jen\}",

note = "Publisher Copyright: {\textcopyright} 1996 ITESM.; 1996 Mexico-USA Collaboration in Intelligent Systems Technologies - 1st Joint Conference on Intelligent Systems between the 9th International Symposium on Artificial Intelllgence, ISAI 1996 and the 6th International Conference on Industrial Fuzzy Control and Intelligent Systems, IFIS 1996 ; Conference date: 12-11-1996 Through 15-11-1996",

year = "1996",

language = "英语",

series = "Proceedings ISAI / IFIS 1996 Mexico - USA Collaboration in Intelligent Systems Technologies",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "431--438",

editor = "Rogelio Soto and Sanchez, \{Jose M.\} and Cantu-Ortiz, \{Francisco J.\} and Moraima Campbell",

booktitle = "Proceedings ISAI / IFIS 1996 Mexico - USA Collaboration in Intelligent Systems Technologies",

address = "美国",

}

Hsu, JYJ & Chiang, IJ 1996, Fuzzy classification trees. 於 R Soto, JM Sanchez, FJ Cantu-Ortiz & M Campbell (編輯), Proceedings ISAI / IFIS 1996 Mexico - USA Collaboration in Intelligent Systems Technologies., 864150, Proceedings ISAI / IFIS 1996 Mexico - USA Collaboration in Intelligent Systems Technologies, Institute of Electrical and Electronics Engineers Inc., 頁 431-438, 1996 Mexico-USA Collaboration in Intelligent Systems Technologies - 1st Joint Conference on Intelligent Systems between the 9th International Symposium on Artificial Intelllgence, ISAI 1996 and the 6th International Conference on Industrial Fuzzy Control and Intelligent Systems, IFIS 1996, Cancun, 墨西哥, 12/11/96.

Fuzzy classification trees. / Hsu, Jane Yung jen; Chiang, I. Jen.
Proceedings ISAI / IFIS 1996 Mexico - USA Collaboration in Intelligent Systems Technologies. 編輯 / Rogelio Soto; Jose M. Sanchez; Francisco J. Cantu-Ortiz; Moraima Campbell. Institute of Electrical and Electronics Engineers Inc., 1996. p. 431-438 864150 (Proceedings ISAI / IFIS 1996 Mexico - USA Collaboration in Intelligent Systems Technologies).

研究成果: 圖書/報告稿件的類型 › 會議稿件 › 同行評審

TY - GEN

T1 - Fuzzy classification trees

AU - Hsu, Jane Yung jen

AU - Chiang, I. Jen

PY - 1996

Y1 - 1996

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/0030349880

M3 - 会议稿件

AN - SCOPUS:0030349880

T3 - Proceedings ISAI / IFIS 1996 Mexico - USA Collaboration in Intelligent Systems Technologies

SP - 431

EP - 438

BT - Proceedings ISAI / IFIS 1996 Mexico - USA Collaboration in Intelligent Systems Technologies

A2 - Soto, Rogelio

A2 - Sanchez, Jose M.

A2 - Cantu-Ortiz, Francisco J.

A2 - Campbell, Moraima

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 1996 Mexico-USA Collaboration in Intelligent Systems Technologies - 1st Joint Conference on Intelligent Systems between the 9th International Symposium on Artificial Intelllgence, ISAI 1996 and the 6th International Conference on Industrial Fuzzy Control and Intelligent Systems, IFIS 1996

Y2 - 12 November 1996 through 15 November 1996

ER -

Hsu JYJ, Chiang IJ. Fuzzy classification trees. 於 Soto R, Sanchez JM, Cantu-Ortiz FJ, Campbell M, 編輯, Proceedings ISAI / IFIS 1996 Mexico - USA Collaboration in Intelligent Systems Technologies. Institute of Electrical and Electronics Engineers Inc. 1996. p. 431-438. 864150. (Proceedings ISAI / IFIS 1996 Mexico - USA Collaboration in Intelligent Systems Technologies).

Fuzzy classification trees

摘要

出版系列

Conference

文獻附註

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引用此