Legal argument in fuzzy legal expert system (FLES)

K. Hirota; Y. Takama; M. Xu; H. Yoshino

doi:10.1109/IECON.2000.973151

Legal argument in fuzzy legal expert system (FLES)

K. Hirota, Y. Takama, M. Xu, H. Yoshino

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

1 Citation (Scopus)

Abstract

A fuzzy legal case-based reasoning system has been developed for CISG (United Nation, Convention on Contract for the International Sale of foods). Since law is adversarial, there are usually at least two opposing viewpoints. Although either side may be quite reasonable, only one side wins in the end. An argument between two agents, such as the plaintiff and defendant, in a legal domain is very useful for classify a vague concept, because it can provide an explanation from the two sides. On the basis of the proposed structural similarity measure approach, a fuzzy legal argument is developed. This approach simulates the cognitive process of human beings in the legal argument. It can be used for students to learn the skill of the legal argument, or provides an advice for the attorneys in practice.

Original language	English
Title of host publication	IECON Proceedings (Industrial Electronics Conference)
Publisher	IEEE Computer Society
Pages	207-210
Number of pages	4
DOIs	https://doi.org/10.1109/IECON.2000.973151
Publication status	Published - 2000
Externally published	Yes

Publication series

Name	IECON Proceedings (Industrial Electronics Conference)
Volume	1

Access to Document

10.1109/IECON.2000.973151

Cite this

@inproceedings{72f22f96ffbd487a898e6f30a3433183,

title = "Legal argument in fuzzy legal expert system (FLES)",

abstract = "A fuzzy legal case-based reasoning system has been developed for CISG (United Nation, Convention on Contract for the International Sale of foods). Since law is adversarial, there are usually at least two opposing viewpoints. Although either side may be quite reasonable, only one side wins in the end. An argument between two agents, such as the plaintiff and defendant, in a legal domain is very useful for classify a vague concept, because it can provide an explanation from the two sides. On the basis of the proposed structural similarity measure approach, a fuzzy legal argument is developed. This approach simulates the cognitive process of human beings in the legal argument. It can be used for students to learn the skill of the legal argument, or provides an advice for the attorneys in practice.",

author = "K. Hirota and Y. Takama and M. Xu and H. Yoshino",

note = "Publisher Copyright: {\textcopyright} 2000 IEEE.",

year = "2000",

doi = "10.1109/IECON.2000.973151",

language = "English",

series = "IECON Proceedings (Industrial Electronics Conference)",

publisher = "IEEE Computer Society",

pages = "207--210",

booktitle = "IECON Proceedings (Industrial Electronics Conference)",

address = "United States",

}

TY - GEN

T1 - Legal argument in fuzzy legal expert system (FLES)

AU - Hirota, K.

AU - Takama, Y.

AU - Xu, M.

AU - Yoshino, H.

PY - 2000

Y1 - 2000

N2 - A fuzzy legal case-based reasoning system has been developed for CISG (United Nation, Convention on Contract for the International Sale of foods). Since law is adversarial, there are usually at least two opposing viewpoints. Although either side may be quite reasonable, only one side wins in the end. An argument between two agents, such as the plaintiff and defendant, in a legal domain is very useful for classify a vague concept, because it can provide an explanation from the two sides. On the basis of the proposed structural similarity measure approach, a fuzzy legal argument is developed. This approach simulates the cognitive process of human beings in the legal argument. It can be used for students to learn the skill of the legal argument, or provides an advice for the attorneys in practice.

AB - A fuzzy legal case-based reasoning system has been developed for CISG (United Nation, Convention on Contract for the International Sale of foods). Since law is adversarial, there are usually at least two opposing viewpoints. Although either side may be quite reasonable, only one side wins in the end. An argument between two agents, such as the plaintiff and defendant, in a legal domain is very useful for classify a vague concept, because it can provide an explanation from the two sides. On the basis of the proposed structural similarity measure approach, a fuzzy legal argument is developed. This approach simulates the cognitive process of human beings in the legal argument. It can be used for students to learn the skill of the legal argument, or provides an advice for the attorneys in practice.

UR - http://www.scopus.com/inward/record.url?scp=84969135593&partnerID=8YFLogxK

U2 - 10.1109/IECON.2000.973151

DO - 10.1109/IECON.2000.973151

M3 - Conference contribution

AN - SCOPUS:84969135593

T3 - IECON Proceedings (Industrial Electronics Conference)

SP - 207

EP - 210

BT - IECON Proceedings (Industrial Electronics Conference)

PB - IEEE Computer Society

ER -

Legal argument in fuzzy legal expert system (FLES)

Abstract

Publication series

Access to Document

Other files and links

Fingerprint

Cite this