Masters Theses


"Conflicts among stakeholders are unavoidable in the process of collaborative engineering design, and resolution of these conflicts is challenging. Previous research by this research group developed a web based intelligent collaborative system that provides decision-making support using computational argumentation techniques. Enhancements were done to this system to incorporate the priorities of the stakeholders and detect conflicting arguments. In an effort to make this system more effective and objective, the present work develops a method to assess the effect of evidences in the argumentation network using the Dempster-Shafer evidence theory and fuzzy logic. One or more evidences can support or attack an argument or another evidence. Incorporation of evidences in the argumentation network makes the decision making process more objective by re-assessing the weights assigned to the arguments according to the evidences associated with them. This research also explains how the present work permits design rationale capturing. The success of any project is dependent on the decisions made during the design phase, making these decisions critical. It is important, therefore, to record the deliberations"--Abstract, page iii.


Liu, Xiaoqing Frank

Committee Member(s)

Leu, M. C. (Ming-Chuan)
Cheng, Maggie Xiaoyan


Computer Science

Degree Name

M.S. in Computer Science


This project is funded by the Intelligent Systems Center (ISC) at Missouri University of Science and Technology.

Research Center/Lab(s)

Intelligent Systems Center


Missouri University of Science and Technology

Publication Date

Fall 2008


vi, 39 pages

Note about bibliography

Includes bibliographical references (pages 36-38).


© 2008 Ekta Khudkhudia, All rights reserved.

Document Type

Thesis - Restricted Access

File Type




Subject Headings

Conflict management -- Mathematical models
Dempster-Shafer theory
Fuzzy logic

Thesis Number

T 9435

Print OCLC #


Link to Catalog Record

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