Masters Theses

Author

Rubal Wanchoo

Abstract

"Multi Criteria Decision Making (MCDM) is a discipline aimed at assisting multiple stakeholders in contemplating a decision paradigm in an uncertain environment. The decision analysis to be performed involves numerous alternative positions assessed under varied criterion. A performance score is assigned for each alternative in terms of every criterion and it represents satisfaction of the criteria by that alternative. In a collaborative decision making environment, performance scores are either obtained when a consensus can be reached among stakeholders on a particular score or in some cases or controversial when stakeholders do not agree with each other about them. In the previous research an intelligent argumentation system for collaborative decision making was developed. In this thesis; its use is being extended for evaluating performance scores in MCDM. A framework is laid out for using the Intelligent Argumentation approach for resolving controversial performance scores. An application case study of "Selection of a Mine Detection Simulation tool" is used to illustrate the method. To validate it empirically, a case study "to determine division of effort between software quality assurance and software testing," which has a group of 24 stakeholders, is conducted in a hypothetical setup. Its empirical data is collected and analyzed. The analysis serves two basic purposes: 1) to validate capability of the argumentation process in determining the controversial performance scores in MCDM using our intelligent computational argumentation system and to show its effectiveness in capturing rationales of stakeholders and assisting rapid collaborative decision making"--Abstract, page iii.

Advisor(s)

Liu, Xiaoqing Frank

Committee Member(s)

Cheng, Maggie Xiaoyan
Takai, Shun

Department(s)

Computer Science

Degree Name

M.S. in Computer Science

Sponsor(s)

Missouri University of Science and Technology. Intelligent Systems Center

Publisher

Missouri University of Science and Technology

Publication Date

2010

Pagination

viii, 65 pages

Note about bibliography

Includes bibliographical references (leaf 67).

Rights

© 2010 Rubal Wanchoo, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Library of Congress Subject Headings

Decision making -- Methodology
Multiple criteria decision making
Logic
Intelligent agents (Computer software)

Thesis Number

T 10225

Print OCLC #

862743021

Electronic OCLC #

862743181

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