Abstract
The Qualitative Choice Logic (QCL) is devoted to a logic expressing preferences for Boolean alternatives. This paper puts the first foundations to extend QCL to fuzzy alternatives. In particular, some relationships between QCL and the bipolar expression of preferences queries are emphazised. A new type of bipolar conditions is defined in the Boolean context to express QCL statements. This new type of bipolar conditions is extended to graduality and it is shown that this extension can be the basis to define a gradual QCL model.
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References
Chomicki, J.: Preference formulas in relational queries. ACM Transactions on Database Systems 28(4), 427–466 (2003)
Kießling, W., Köstler, G.: Preference SQL - design, implementation, experiences. In: Proceedings of the 28th VLDB Conference, Hong Kong, China (2002)
Bosc, P., Pivert, O.: SQLf: A relational database language for fuzzy querying. IEEE Transactions on Fuzzy Systems 3(1), 1–17 (1995)
Dubois, D., Prade, H.: An introduction to bipolar representations of information and preference. International Journal of Intelligent Systems 23, 174–182 (2008)
Dubois, D., Prade, H.: Handling bipolar queries in fuzzy information processing. In: Galindo, J. (ed.) Handbook of Research on Fuzzy Information Processing in Databases, pp. 97–114. Information Science Reference, Hershey (2008)
Liétard, L., Rocacher, D., Tamani, N.: A relational algebra for generalized fuzzy bipolar conditions. In: Pivert, O., Zadrożny, S. (eds.) Flexible Approaches in Data, Information and Knowledge Management. SCI, vol. 497, pp. 45–69. Springer, Heidelberg (2013)
Dubois, D., Prade, H.: Modeling and if possible” and or at least”: different forms of bipolarity in flexible querying. In: Pivert, O., Zadrożny, S. (eds.) Flexible Approaches in Data, Information and Knowledge Management. SCI, vol. 497, pp. 3–44. Springer, Heidelberg (2013)
De Tré, G., Zadrożny, S., Matthé, T., Kacprzyk, J., Bronselaer, A.: Dealing with positive and negative query criteria in fuzzy database querying 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)
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)
Bosc, P., Pivert, O.: On a fuzzy bipolar relational algebra. Information Sciences 219, 1–16 (2013)
Brewka, G., Benferhat, S., Berre, D.L.: Qualitative choice logic. Artificial Intelligence 157, 203–237 (2004)
Benferhat, S., Sedki, K.: A revised qualitative choice logic for handling prioritized preferences. In: Mellouli, K. (ed.) ECSQARU 2007. LNCS (LNAI), vol. 4724, pp. 635–647. Springer, Heidelberg (2007)
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Liétard, L., Hadjali, A., Rocacher, D. (2014). Towards a Gradual QCL Model for Database Querying. In: Laurent, A., Strauss, O., Bouchon-Meunier, B., Yager, R.R. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2014. Communications in Computer and Information Science, vol 444. Springer, Cham. https://doi.org/10.1007/978-3-319-08852-5_14
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DOI: https://doi.org/10.1007/978-3-319-08852-5_14
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08851-8
Online ISBN: 978-3-319-08852-5
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