Incorporation of evidences in an intelligent argumentation network for collaborative engineering design
"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
Leu, M. C. (Ming-Chuan)
Cheng, Maggie Xiaoyan
M.S. in Computer Science
Intelligent Systems Center
Missouri University of Science and Technology
vi, 39 pages
Note about bibliography
Includes bibliographical references (pages 36-38).
© 2008 Ekta Khudkhudia, All rights reserved.
Thesis - Restricted Access
Conflict management -- Mathematical models
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Electronic access to the full-text of this document is restricted to Missouri S&T users. Otherwise, request this publication directly from Missouri S&T Library or contact your local library.http://merlin.lib.umsystem.edu/record=b6664311~S5
Khudkhudia, Ekta, "Incorporation of evidences in an intelligent argumentation network for collaborative engineering design" (2008). Masters Theses. 75.
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This project is funded by the Intelligent Systems Center (ISC) at Missouri University of Science and Technology.