Uncertainty handling tool for legal consultation

Al-Halaby, Ramzi R.

dc.contributor.author	Al-Halaby, Ramzi R.
dc.date.accessioned	2020-07-01T08:33:41Z
dc.date.available	2020-07-01T08:33:41Z
dc.date.issued	1999-06
dc.identifier.citation	Al-Halaby, R. R. (1999). Uncertainty handling tool for legal consultation (Master's thesis, Notre Dame University-Louaize, Zouk Mosbeh, Lebanon). Retrieved from http://ir.ndu.edu.lb/123456789/1127	en_US
dc.identifier.uri	http://ir.ndu.edu.lb/123456789/1127
dc.description	M.B.A. -- Faculty of Business Administration and Economics, Notre Dame University, Louaize, 1999; "A thesis submitted in partial fulfillment of the requirements for the award of degree of Masters of Sciences, Department of Computer Science, Faculty of Natural and Applied Sciences"; Includes bibliographical references (leaves 67-69).	en_US
dc.format.extent	ii, 81 leaves : illustrations
dc.language.iso	en	en_US
dc.publisher	Notre Dame University-Louaize.	en_US
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 United States	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.subject.lcsh	Artificial intelligence
dc.subject.lcsh	Uncertainty (Information theory)
dc.title	Uncertainty handling tool for legal consultation	en_US
dc.type	Thesis	en_US
dc.rights.license	This work is licensed under a Creative Commons Attribution-NonCommercial 3.0 United States License. (CC BY-NC 3.0 US)
dcterms.abstract	In recent years, it is witnessed that acquisition of knowledge from human sources, taking a challenge tasks as it contains lot of uncertainty. In general, for practical purposes, we reason and solve problems based on insufficient and inadequate information. As a consequence, the knowledge representation in a machine and its subsequent utilization has gained a significant momentum. Thus, knowledge is subsequently stored in the knowledge base of the system, using an appropriate knowledge representation scheme. Many a times, the knowledge is often defined with respect to a human being. Human knowledge often has gaps, inconsistencies, beliefs and opinions in addition to naked facts whose truth in uninspired. In this thesis, we broadly categorized the amount of work from two different perspectives: 1. A new approach for handling uncertainty. 2. The application of this approach to legal consultations within the Lebanon Jurisdiction. We stress more on the application part of it. Part I reveals that the uncertainty associated with proposition P in an ordered tuple ((X,13) E [0,1] x [0,1] where a is the total pooled evidence "for" to the proposition and P is the total pooled evidence "against" the same proposition. We adopted this formalism for legal consultation for the purpose of intelligent decision making. We have developed a software tool using FoxPro for windows 2.6 coupled with Pascal code. This tool is based on procedural design, gives an aid to the judge for the purpose of decision making. For the purpose of illustration, we practically borrowed certain legal cases in Lebanon from the court.
dc.contributor.supervisor	Srinivas, Nowduri, Ph.D.	en_US
dc.contributor.department	Notre Dame University-Louaize. Department of Computer Science	en_US