UMEED-A Fuzzy Rule-Based Legal Expert System to Address Domestic Violence Against Women
Viciousness against women has become an alarming topic and a serious concern for the government of India in recent years. Pending cases related to domestic violence in different courts need to be resolved faster to give proper justice to the victims and their families. In this paper a fuzzy logic-based legal expert system, ‘UMEED’, is proposed that emulates the decision-making ability of a legal expert, to address different legal issues regarding domestic violence. The system is proposed in such a way that it produces the expert opinion on this subject within the legal bounds. Being a rule-based system it acts as a legal advisor for the lawyers and ensures faster delivery of the legal decisions, and hence reduces overall decision-making time and effort. The model is tested on few historical cases regarding domestic violence and its performance proved to be satisfactory when it is compared with the actual legal decisions.
KeywordsLegal expert system Fuzzy rule-based system Domestic violence Fuzzy logic
The authors would like to acknowledge Ms. Pooja Shastry, lawyer, for the support and guidance in the work.
- 1.Baldwin K, Canada best G20 country to be a woman, India worst—TrustLaw poll, Thomson Reuters, 13 June, 2012.Google Scholar
- 2.http://www.indiankanoon.com/ Accessed on 11th May 2015.
- 3.Schafer, Burkhard, ZombAIs: Legal Expert Systems as Representatives “Beyond the Grave”. SCRIPTed 7 Section 498 of the Indian Penal Code (Dowry Death), Government of India, 2010.Google Scholar
- 4.Patterson, D.W. Introduction to Arti cial Intelligence and Expert Systems. Prentice-Hall: New Delhi, 2004.Google Scholar
- 5.Aikenhead, M. “Legal Knowledge-Based Systems: some observations on the future”. Web JCLI2, 1995.Google Scholar
- 6.Pal, Kamalendu; John A. Campbell, “An Application of Rule-Based and Case-Based Reasoning within a Single Legal Knowledge-Based System”. The DATA BASE for Advances in Information System 28(4), 1997.Google Scholar
- 7.Main, Julie; Sankar K Pal, et al.; Tharam Dillon and SimonShiu. “A Tutorial on Case-Based Reasoning”. in Soft Computing in Case Based Reasoning (4th ed.). London: (Ltd), 2001.Google Scholar
- 8.Jackson, Peter, Introduction to Expert systems (3 ed.), Addison Wesley, p. 2, 1998.Google Scholar
- 9.Susskind, Richard, “Expert Systems in Law: A Jurisprudential Approach to Artificial Intelligence and Legal Reasoning”, Modern Law Review 1986.Google Scholar
- 10.Schweighofer Erich; Werner Winiwarter.”Legal Expert System KONTERM- Automatic Representation of Document Structure and Contents”. DDEXA ‘93 Proceedings of the 4th International Conference on Database and Expert Systems Applications: 486, 1993.Google Scholar
- 11.Groothuis, Marga M.; Jorgen S. Svenson, “Expert system support and juridical quality?” in Legal Knowledge and Information Systems, Amsterdam, The Thirteenth Annual Conference, p. 9, 2000.Google Scholar
- 12.The Protection Act for Women against Domestic Violence, Ministry of Law, India, 2005.Google Scholar
- 13.Zadeh, L.A. Fuzzy logic= computing with words. IEEE transactions on fuzzy systems, 4(2), pp. 103–111. Vancouver, 1996.Google Scholar
- 14.Dowry Prohibition Act, Government of India, 1961.Google Scholar
- 15.http://www.legalindia.com. Accessed on 11th Dec 2015.