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Issue title: Concurrency Specification and Programming (CS&P)
Article type: Research Article
Authors: Gomolińska, Anna
Affiliations: Department of Mathematics Białystok University Akademicka 2, 15267 Białystok, Poland. [email protected]
Note: [] Address for correspondence: Department of Mathematics, Białystok University, Akademicka 2, 15267 Białystok, Poland
Abstract: In this article we discuss judgment of satisfiability of formulas of a knowledge representation language as an object classification task. Our viewpoint is that of the rough set theory (RST), and the descriptor language for Pawlak's information systems of a basic kind is taken as the study case. We show how certain analogy-based methods can be employed to judge satisfiability of formulas of that language.
Keywords: satisfiability of formulas, valuation, object classification, Pawlak's information system, descriptor language, analogy-based reasoning
Journal: Fundamenta Informaticae, vol. 85, no. 1-4, pp. 139-153, 2008
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