A logical approach to fuzzy data analysis

Churn Jung Liau; Duen-Ren Liu

doi:10.1007/978-3-540-48247-5_51

A logical approach to fuzzy data analysis

Churn Jung Liau, Duen-Ren Liu

National Chiao Tung University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Abstract

In this paper, we investigate the extraction of fuzzy rules from data tables based on possibility theory. A possibilistic decision language is used to represent the extracted fuzzy rules. The algorithm for rule extraction is presented and the complexity analysis is carried out. Since the results of the rule induction process strongly depend on the representation language, we also discuss some approach for dynamic adjustment of the language based on the data.

Original language	English
Title of host publication	Principles of Data Mining and Knowledge Discovery - 3d European Conference, PKDD 1999, Proceedings
Editors	Jan Rauch, Jan M. Żytkow
Publisher	Springer Verlag
Pages	412-417
Number of pages	6
ISBN (Print)	3540664904, 9783540664901
DOIs	https://doi.org/10.1007/978-3-540-48247-5_51
State	Published - 1 Jan 1999
Event	3rd European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 1999 - Prague, Czech Republic Duration: 15 Sep 1999 → 18 Sep 1999

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	1704
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	3rd European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 1999
Country	Czech Republic
City	Prague
Period	15/09/99 → 18/09/99

Access to Document

10.1007/978-3-540-48247-5_51

Fingerprint Dive into the research topics of 'A logical approach to fuzzy data analysis'. Together they form a unique fingerprint.

Cite this

Liau, C. J., & Liu, D-R. (1999). A logical approach to fuzzy data analysis. In J. Rauch, & J. M. Żytkow (Eds.), Principles of Data Mining and Knowledge Discovery - 3d European Conference, PKDD 1999, Proceedings (pp. 412-417). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1704). Springer Verlag. https://doi.org/10.1007/978-3-540-48247-5_51

Liau, Churn Jung ; Liu, Duen-Ren. / A logical approach to fuzzy data analysis. Principles of Data Mining and Knowledge Discovery - 3d European Conference, PKDD 1999, Proceedings. editor / Jan Rauch ; Jan M. Żytkow. Springer Verlag, 1999. pp. 412-417 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{28147a20298c4ac093c8cec26f5d9762,

title = "A logical approach to fuzzy data analysis",

abstract = "In this paper, we investigate the extraction of fuzzy rules from data tables based on possibility theory. A possibilistic decision language is used to represent the extracted fuzzy rules. The algorithm for rule extraction is presented and the complexity analysis is carried out. Since the results of the rule induction process strongly depend on the representation language, we also discuss some approach for dynamic adjustment of the language based on the data.",

author = "Liau, {Churn Jung} and Duen-Ren Liu",

year = "1999",

month = jan,

day = "1",

doi = "10.1007/978-3-540-48247-5_51",

language = "English",

isbn = "3540664904",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "412--417",

editor = "Jan Rauch and {\.Z}ytkow, {Jan M.}",

booktitle = "Principles of Data Mining and Knowledge Discovery - 3d European Conference, PKDD 1999, Proceedings",

address = "Germany",

note = "null ; Conference date: 15-09-1999 Through 18-09-1999",

}

Liau, CJ & Liu, D-R 1999, A logical approach to fuzzy data analysis. in J Rauch & JM Żytkow (eds), Principles of Data Mining and Knowledge Discovery - 3d European Conference, PKDD 1999, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1704, Springer Verlag, pp. 412-417, 3rd European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 1999, Prague, Czech Republic, 15/09/99. https://doi.org/10.1007/978-3-540-48247-5_51

A logical approach to fuzzy data analysis. / Liau, Churn Jung; Liu, Duen-Ren.

Principles of Data Mining and Knowledge Discovery - 3d European Conference, PKDD 1999, Proceedings. ed. / Jan Rauch; Jan M. Żytkow. Springer Verlag, 1999. p. 412-417 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1704).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A logical approach to fuzzy data analysis

AU - Liau, Churn Jung

AU - Liu, Duen-Ren

PY - 1999/1/1

Y1 - 1999/1/1

N2 - In this paper, we investigate the extraction of fuzzy rules from data tables based on possibility theory. A possibilistic decision language is used to represent the extracted fuzzy rules. The algorithm for rule extraction is presented and the complexity analysis is carried out. Since the results of the rule induction process strongly depend on the representation language, we also discuss some approach for dynamic adjustment of the language based on the data.

AB - In this paper, we investigate the extraction of fuzzy rules from data tables based on possibility theory. A possibilistic decision language is used to represent the extracted fuzzy rules. The algorithm for rule extraction is presented and the complexity analysis is carried out. Since the results of the rule induction process strongly depend on the representation language, we also discuss some approach for dynamic adjustment of the language based on the data.

UR - http://www.scopus.com/inward/record.url?scp=84956863415&partnerID=8YFLogxK

U2 - 10.1007/978-3-540-48247-5_51

DO - 10.1007/978-3-540-48247-5_51

M3 - Conference contribution

AN - SCOPUS:84956863415

SN - 3540664904

SN - 9783540664901

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 412

EP - 417

BT - Principles of Data Mining and Knowledge Discovery - 3d European Conference, PKDD 1999, Proceedings

A2 - Rauch, Jan

A2 - Żytkow, Jan M.

PB - Springer Verlag

Y2 - 15 September 1999 through 18 September 1999

ER -

Liau CJ, Liu D-R. A logical approach to fuzzy data analysis. In Rauch J, Żytkow JM, editors, Principles of Data Mining and Knowledge Discovery - 3d European Conference, PKDD 1999, Proceedings. Springer Verlag. 1999. p. 412-417. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-540-48247-5_51

A logical approach to fuzzy data analysis

Abstract

Publication series

Conference

Access to Document

Other files and links

Cite this