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Logic, Probability, and Privacy: A Framework for Specifying Privacy Requirements.

, , and . Turing-100, volume 10 of EPiC Series in Computing, page 157-167. EasyChair, (2012)

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Fuzzy Interpolative Reasoning for Sparse Fuzzy-Rule-Based Systems Based on the Areas of Fuzzy Sets., , and . IEEE Trans. Fuzzy Syst., 16 (5): 1285-1301 (2008)Belief Fusion and Revision: An Overview Based on Epistemic Logic Semantics.. J. Appl. Non Class. Logics, 14 (3): 247-274 (2004)Value versus damage of information release: A data privacy perspective., , , and . Int. J. Approx. Reason., 43 (2): 179-201 (2006)An Inductive Construction for Many-Valued Coalgebraic Modal Logic., and . CoRR, (2022)Designing a Tag-Based Statistical Math Word Problem Solver with Reasoning and Explanation., , , , , , , , and . ROCLING, Association for Computational Linguistics and Chinese Language Processing (ACLCLP), Taiwan, (2015)A GrC-Based Approach to Social Network Data Protection., , and . RSCTC, volume 4259 of Lecture Notes in Computer Science, page 438-447. Springer, (2006)How Much Privacy? - A System to Safe Guard Personal Privacy while Releasing Databases., , , , and . Rough Sets and Current Trends in Computing, volume 2475 of Lecture Notes in Computer Science, page 226-233. Springer, (2002)Attribute-oriented Granulation for Privacy Protection., , and . GrC, page 726-731. IEEE, (2006)Granulation Based on Hybrid Infornation Systems., , , and . SMC, page 4768-4772. IEEE, (2006)Reasoning about Higher Order Uncertainty in Possiblistic Logic., and . ISMIS, volume 689 of Lecture Notes in Computer Science, page 316-325. Springer, (1993)