Conflict resolution for collaborative design based on rough set theory

Ma, J; Xiao, T; Zeng, J; Hao, M

Conflict resolution for collaborative design based on rough set theory

Ma, J Xiao, T Zeng, J Hao, M

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 12th International Conference on Computer Supported Cooperative Work in Design, 2008. CSCWD 2008., 2008, pp. 64 - 69
Issue Date:: 2008-01

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Field	Value	Language
dc.contributor.author	Ma, J	en_US
dc.contributor.author	Xiao, T	en_US
dc.contributor.author	Zeng, J	en_US
dc.contributor.author	Hao, M	en_US
dc.contributor.editor	NA	en_US
dc.date	2008-04-16	en_US
dc.date.issued	2008-01	en_US
dc.identifier.citation	12th International Conference on Computer Supported Cooperative Work in Design, 2008. CSCWD 2008., 2008, pp. 64 - 69	en_US
dc.identifier.isbn	978-1-4244-1650-9	en_US
dc.identifier.uri	http://hdl.handle.net/10453/11895
dc.description.abstract	Due to the design knowledge discrepancy during collaborative design, conflicts can be revealed from the process of collaborative design decision. A critical element of collaborative design would be conflict resolution. The conflict resolution is correlative with both of the knowledge granulation and specific method provided. In this paper, granularity is used to describe rules acquainted based on the concept of rough degree. In this condition, A feasible distance formula between different rules is constructed according to the requirement of describing the distance between different rules and the definition of attribute significance in information system with rough theory, in which the operator of attribute importance is introduced, and then traditional conflict resolutions are analyzed. As a result, the concept of rule set evolution is put forward, and the instance is introduced to explain the efficiency of new method.	en_US
dc.publisher	IEEE	en_US
dc.relation.ispartof	12th International Conference on Computer Supported Cooperative Work in Design, 2008. CSCWD 2008.	en_US
dc.relation.ispartof	International Conference on Computer Supported Cooperative Work in Design	en_US
dc.relation.isbasedon	10.1109/CSCWD.2008.4536956	en_US
dc.rights	© 2008 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.title	Conflict resolution for collaborative design based on rough set theory	en_US
dc.type	Conference Proceeding
utslib.location	Piscataway, USA	en_US
utslib.location.activity	Xian, China	en_US
utslib.for	0806 Information Systems	en_US
dc.location.activity	Xian, China	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access
pubs.consider-herdc	false	en_US
pubs.place-of-publication	Piscataway, USA	en_US
pubs.start-date	2008-04-16	en_US

Abstract:

Due to the design knowledge discrepancy during collaborative design, conflicts can be revealed from the process of collaborative design decision. A critical element of collaborative design would be conflict resolution. The conflict resolution is correlative with both of the knowledge granulation and specific method provided. In this paper, granularity is used to describe rules acquainted based on the concept of rough degree. In this condition, A feasible distance formula between different rules is constructed according to the requirement of describing the distance between different rules and the definition of attribute significance in information system with rough theory, in which the operator of attribute importance is introduced, and then traditional conflict resolutions are analyzed. As a result, the concept of rule set evolution is put forward, and the instance is introduced to explain the efficiency of new method.

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http://hdl.handle.net/10453/11895