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Hybrid Legal Intelligent System Using Fuzzy and Neural Networks

S. Sridevi1 , P. Venkata Subba Reddy2

  1. Computer Science and Engineering, Sri Venkateswara College of Engineering, Tirupati, India.
  2. Computer Science and Engineering, Sri Venkateswara College of Engineering, Tirupati, India.

Correspondence should be addressed to: pvsrpoli@hotmail.com.

Section:Research Paper, Product Type: Journal Paper
Volume-5 , Issue-11 , Page no. 222-231, Nov-2017

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v5i11.222231

Online published on Nov 30, 2017

Copyright © S. Sridevi, P. Venkata Subba Reddy . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: S. Sridevi, P. Venkata Subba Reddy , “Hybrid Legal Intelligent System Using Fuzzy and Neural Networks,” International Journal of Computer Sciences and Engineering, Vol.5, Issue.11, pp.222-231, 2017.

MLA Style Citation: S. Sridevi, P. Venkata Subba Reddy "Hybrid Legal Intelligent System Using Fuzzy and Neural Networks." International Journal of Computer Sciences and Engineering 5.11 (2017): 222-231.

APA Style Citation: S. Sridevi, P. Venkata Subba Reddy , (2017). Hybrid Legal Intelligent System Using Fuzzy and Neural Networks. International Journal of Computer Sciences and Engineering, 5(11), 222-231.

BibTex Style Citation:
@article{Sridevi_2017,
author = {S. Sridevi, P. Venkata Subba Reddy },
title = {Hybrid Legal Intelligent System Using Fuzzy and Neural Networks},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {11 2017},
volume = {5},
Issue = {11},
month = {11},
year = {2017},
issn = {2347-2693},
pages = {222-231},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1570},
doi = {https://doi.org/10.26438/ijcse/v5i11.222231}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v5i11.222231}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1570
TI - Hybrid Legal Intelligent System Using Fuzzy and Neural Networks
T2 - International Journal of Computer Sciences and Engineering
AU - S. Sridevi, P. Venkata Subba Reddy
PY - 2017
DA - 2017/11/30
PB - IJCSE, Indore, INDIA
SP - 222-231
IS - 11
VL - 5
SN - 2347-2693
ER -

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Abstract

In this paper, we describe the implementation of Hybrid Intelligence system for Indian legal domain by using neural network and fuzzy technique. The objective of this research is to develop a legal expert system for auto-insurance, a domain within the Indian legal system. We have proposed legal reasoning system which basically integrates rule based and case based reasoning in a structured manner for critical task units in auto-insurance domain. The end user of the system can be the insurer as well as lawyer in order to take any legal actions. The system mainly handles three main functional blocks of auto-insurance claim processing: i) validation of rules and regulations of motor vehicle act, ii) verification of the ‘extent of damage’ attribute, and iii) analysing history legal cases for reference. The scope of this hybrid system is limited to validation and verification of auto-insurance claim processing pertaining to Indian legal system. All these functional blocks play important role in providing logical solution for claim compensation.

Key-Words / Index Term

Fuzzy Legal Expert System, Fuzzy Case Based Reasoning System, Hybrid Expert System, Hybrid Legal Intelligent System, Legal Intelligent System, Neural Network

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