Title

Fuzzy C-means Clustering Based Polarization Assessment in Intelligent Argumentation System for Collaborative Decision Support

Abstract

Intelligent argumentation system facilitates stakeholders to exchange rationale of the stakeholders through arguments. In argumentation process, stakeholders tend to polarize on their opinions and form polarization groups. A method [1] was developed earlier to identify polarization groups, however, polarization groups tend to overlap to a certain degree and each stakeholder may be a member of multiple polarization groups to varied degrees. Quantifying stakeholders' membership in multiple polarization groups in argumentation for collaborative decision making is not addressed earlier. We present an approach using fuzzy clustering algorithm to address this issue and evaluate the approach using an argumentation tree built by twenty four stakeholders.

Meeting Name

2013 IEEE 37th Annual Computer Software and Applications Conference (COMPSAC) (2013: Jul. 22-26, Kyoto, Japan)

Department(s)

Electrical and Computer Engineering

Second Department

Computer Science

International Standard Book Number (ISBN)

9780769549866

International Standard Serial Number (ISSN)

0730-3157

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2013 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.


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