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A Bipolar Approach to the Handling of User Preferences in Business Processes Retrieval

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Date
2012
Collection title
Communications in Computer and Information Science
Collection Id
297/2012
Dewey
Systèmes d'information
Sujet
QoS
DOI
http://dx.doi.org/10.1007/978-3-642-31709-5_41
Conference name
14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2012
Conference date
07-2012
Conference city
Catane
Conference country
Italy
Book title
Advances on Computational Intelligence 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2012, Catania, Italy, July 9-13, 2012. Proceedings, Part I
Author
Greco, Salvatore; Bouchon-Meunier, Bernadette; Coletti, Giulianella; Fedrizzi, Mario; Matarazzo, Benedetto; Yager, Ronald R.
Publisher
Springer
Publisher city
Berlin
Year
2012
Pages number
657
ISBN
978-3-642-31708-8
Book URL
http://dx.doi.org/10.1007/978-3-642-31709-5
URI
https://basepub.dauphine.fr/handle/123456789/11568
Collections
  • LAMSADE : Publications
Metadata
Show full item record
Author
Abbaci, Katia
Lemos, Fernando
Hadjali, Allel
Grigori, Daniela
989 Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Liétard, Ludovic
Rocacher, Daniel
Bouzeghoub, Mokrane
Type
Communication / Conférence
Item number of pages
400-409
Abstract (EN)
In the context of retrieving business processes, most approaches still lead to a high selectivity rate, resulting in a large number of services offering similar functionalities and behavior. As these services may offer different Quality of Services (QoS) values, taking into account user preferences on QoS attributes allow to retrieve the most appropriate services. In this paper, we advocate an approach for handling preferences on QoS parameters in a bipolar way, i.e., distinguishing between negative and positive preferences as it seems to be the case in the human mind. Negative preferences represent constraints that have to be satisfied by the returned services, while positive preferences express wishes and are not compulsory. Finally, a set of experiments based on real data is conducted to demonstrate the relevance and the scalability of our proposal.

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