Fuzzy service quality review in service oriented architectures

Schmidt, S; Steele, RJ; Dillon, TS; Chang, E

Fuzzy service quality review in service oriented architectures

Schmidt, S Steele, RJ Dillon, TS Chang, E

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Publisher:: IEEE Computer Society Press
Publication Type:: Conference Proceeding
Citation:: 2006 IEEE International Conference on Fuzzy Systems, 2006, pp. 2247 - 2254
Issue Date:: 2006-01

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Field	Value	Language
dc.contributor.author	Schmidt, S	en_US
dc.contributor.author	Steele, RJ	en_US
dc.contributor.author	Dillon, TS	en_US
dc.contributor.author	Chang, E	en_US
dc.contributor.editor	Bonissone, P	en_US
dc.date	2006-07-16	en_US
dc.date.issued	2006-01	en_US
dc.identifier.citation	2006 IEEE International Conference on Fuzzy Systems, 2006, pp. 2247 - 2254	en_US
dc.identifier.uri	http://hdl.handle.net/10453/2374
dc.description.abstract	The benefits of Service Oriented Architectures (SOAs) start to be recognized and implemented across distributed enterprise businesses. As SOAs promise to accomplish more dynamic and collaborative e-business scenarios, we need to ensure that critical factors such as trust, credibility and quality of service (QoS) are consistently and efficiently measured in such unsupervised environments. We propose a fuzzy logic-based model for the review of service fulfilment after a business interaction and demonstrate its functionalities in an exemplary application. The outcome of our model can then be used to adjust credibility records of third party agents which delivered opinions, to update trustworthiness values in the business partner, or to communicate the trustworthiness of the business partner to interested peer agents.	en_US
dc.publisher	IEEE Computer Society Press	en_US
dc.relation.ispartof	2006 IEEE International Conference on Fuzzy Systems	en_US
dc.relation.ispartof	IEEE International Conference on Fuzzy Systems	en_US
dc.relation.isbasedon	10.1109/FUZZY.2006.1682012	en_US
dc.rights	© 2006 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	Fuzzy service quality review in service oriented architectures	en_US
dc.type	Conference Proceeding
utslib.location	Vancouver, Canada	en_US
utslib.location.activity	Vancouver, Canada	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Vancouver, Canada	en_US
dc.location.activity	Hong Kiong
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
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Software
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.place-of-publication	Vancouver, Canada	en_US
pubs.start-date	2006-07-16	en_US

Abstract:

The benefits of Service Oriented Architectures (SOAs) start to be recognized and implemented across distributed enterprise businesses. As SOAs promise to accomplish more dynamic and collaborative e-business scenarios, we need to ensure that critical factors such as trust, credibility and quality of service (QoS) are consistently and efficiently measured in such unsupervised environments. We propose a fuzzy logic-based model for the review of service fulfilment after a business interaction and demonstrate its functionalities in an exemplary application. The outcome of our model can then be used to adjust credibility records of third party agents which delivered opinions, to update trustworthiness values in the business partner, or to communicate the trustworthiness of the business partner to interested peer agents.

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http://hdl.handle.net/10453/2374