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

Abbaci, Katia; Lemos, Fernando; Hadjali, Allel; Grigori, Daniela; Liétard, Ludovic; Rocacher, Daniel; Bouzeghoub, Mokrane (2012), A Bipolar Approach to the Handling of User Preferences in Business Processes Retrieval, in Greco, Salvatore; Bouchon-Meunier, Bernadette; Coletti, Giulianella; Fedrizzi, Mario; Matarazzo, Benedetto; Yager, Ronald R., 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, Springer : Berlin, p. 400-409. 10.1007/978-3-642-31709-5_41

Type
Communication / Conférence
Date
2012
Conference title
14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2012
Conference date
2012-07
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
Book author
Greco, Salvatore; Bouchon-Meunier, Bernadette; Coletti, Giulianella; Fedrizzi, Mario; Matarazzo, Benedetto; Yager, Ronald R.
Publisher
Springer
Series title
Communications in Computer and Information Science
Series number
297/2012
Published in
Berlin
ISBN
978-3-642-31708-8
Number of pages
657
Pages
400-409
Publication identifier
Metadata
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Author(s)
Abbaci, Katia

Lemos, Fernando

Hadjali, Allel

Grigori, Daniela
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Liétard, Ludovic

Rocacher, Daniel

Bouzeghoub, Mokrane
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.
Subjects / Keywords
QoS