Abstract
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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References
Dijkman, R., Dumas, M., García-Bañuelos, L.: Graph Matching Algorithms for Business Process Model Similarity Search. In: Dayal, U., Eder, J., Koehler, J., Reijers, H.A. (eds.) BPM 2009. LNCS, vol. 5701, pp. 48–63. Springer, Heidelberg (2009)
Grigori, D., Corrales, J.C., Bouzeghoub, M., Gater, A.: Ranking bpel processes for service discovery. IEEE Trans. on Services Computing 3, 178–192 (2010)
Abbaci, K., Lemos, F., Hadjali, A., Grigori, D., Liétard, L., Rocacher, D., Bouzeghoub, M.: Selecting and ranking business processes with preferences: An approach based on fuzzy sets. In: CoopIS, pp. 38–55 (2011)
Dubois, D., Prade, H.: Fuzzy Information Processing in Databases. In: Handling Bipolar Queries in Fuzzy Information Processing, pp. 97–114 (2008)
Benferhat, S., Dubois, D., Kaci, S., Prade, H.: Bipolar possibility theory in preference modeling: Representation, fusion and optimal solution. IJIF, 135–150 (2006)
Zadrożny, S., Kacprzyk, J.: Bipolar Queries: A Way to Enhance the Flexibility of Database Queries. In: Ras, Z.W., Dardzinska, A. (eds.) Advances in Data Management. SCI, vol. 223, pp. 49–66. Springer, Heidelberg (2009)
De Tré, G., Zadrożny, S., Matthé, T., Kacprzyk, J., Bronselaer, A.: Dealing with Positive and Negative Query Criteria in Fuzzy Database Quering Bipolar Satisfaction Degrees. In: Andreasen, T., Yager, R.R., Bulskov, H., Christiansen, H., Larsen, H.L. (eds.) FQAS 2009. LNCS, vol. 5822, pp. 593–604. Springer, Heidelberg (2009)
Zadeh, L.A.: Fuzzy sets. Information and Control 8, 338–353 (1965)
Dubois, D., Prade, H.: Bipolarity in Flexible Querying. In: Andreasen, T., Motro, A., Christiansen, H., Larsen, H.L. (eds.) FQAS 2002. LNCS (LNAI), vol. 2522, pp. 174–182. Springer, Heidelberg (2002)
Dumas, M., García-Bañuelos, L., Polyvyanyy, A., Yang, Y., Zhang, L.: Aggregate Quality of Service Computation for Composite Services. In: Maglio, P.P., Weske, M., Yang, J., Fantinato, M. (eds.) ICSOC 2010. LNCS, vol. 6470, pp. 213–227. Springer, Heidelberg (2010)
Liétard, L., Tamani, N., Rocacher, D.: Fuzzy bipolar conditions of type ”or else”. In: IEEE International Conference on Fuzzy Systems, FUZZ (2011)
Lemos, F., Gater, A., Grigori, D., Bouzeghoub, M.: Adding preferences to semantic process model matchmaking. In: Proc. of GAOC (2011)
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Abbaci, K. et al. (2012). A Bipolar Approach to the Handling of User Preferences in Business Processes Retrieval. In: Greco, S., Bouchon-Meunier, B., Coletti, G., Fedrizzi, M., Matarazzo, B., Yager, R.R. (eds) Advances on Computational Intelligence. IPMU 2012. Communications in Computer and Information Science, vol 297. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31709-5_41
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DOI: https://doi.org/10.1007/978-3-642-31709-5_41
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