A New Kind of Implication to Reason with Unknown Information
Abstract
Citation
Please, cite this work as:
[Pér+21] F. Pérez-Gámez, P. Cordero, M. Enciso, et al. “A New Kind of Implication to Reason with Unknown Information”. In: Formal Concept Analysis - 16th International Conference, ICFCA 2021, Strasbourg, France, June 29 - July 2, 2021, Proceedings. Ed. by A. Braud, A. Buzmakov, T. Hanika and F. L. Ber. Vol. 12733. Lecture Notes in Computer Science. Springer, 2021, pp. 74-90. DOI: 10.1007/978-3-030-77867-5_5. URL: https://doi.org/10.1007/978-3-030-77867-5_5.
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Papers citing this work
The following is a non-exhaustive list of papers that cite this work:
[1] F. Pérez-Gámez, P. Cordero, M. Enciso, et al. “Simplification logic for the management of unknown information”. In: Information Sciences 634 (Jul. 2023), p. 505–519. ISSN: 0020-0255. DOI: 10.1016/j.ins.2023.03.015. URL: http://dx.doi.org/10.1016/j.ins.2023.03.015.
[2] F. Pérez-Gámez, D. López-Rodríguez, P. Cordero, et al. “Simplifying Implications with Positive and Negative Attributes: A Logic-Based Approach”. In: Mathematics 10.4 (Feb. 2022), p. 607. ISSN: 2227-7390. DOI: 10.3390/math10040607. URL: http://dx.doi.org/10.3390/math10040607.
[3] B. Sinclair-Desgagné. “Mining for Unknown Unknowns”. In: Electronic Proceedings in Theoretical Computer Science 379 (Jul. 2023), p. 507–517. ISSN: 2075-2180. DOI: 10.4204/eptcs.379.38. URL: http://dx.doi.org/10.4204/eptcs.379.38.