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Issue title: Concurrency, Specification, and Programming: Special Issue of Selected Papers of CS&P 2015
Guest editors: Ludwik Czaja, Wojciech Penczek and Krzysztof Stencel
Article type: Research Article
Authors: Grabowski, Adam*
Affiliations: Institute of Informatics, University of Białystok, Konstantego Ciołkowskiego 1M, 15-245 Białystok, Poland. adam@math.uwb.edu.pl
Correspondence: [*] Address for correspondence: Institute of Informatics, University of Białystok, Konstantego Ciołkowskiego 1M, 15-245 Białystok, Poland
Abstract: Rough sets offer a well-known approach to incomplete or imprecise data. In the paper I briefly report how this framework was successfully encoded by means of one of the leading computer proof-assistants in the world. The general approach is essentially based on binary relations, and all natural properties of approximation operators can be obtained via adjectives added to underlying relations. I focus on lattice-theoretical aspects of rough sets to enable the application of external theorem provers like EQP or Prover9 as well as to translate them into TPTP format widely recognized in the world of automated proof search. I wanted to have a clearly written, possibly formal, although informal as a rule, paper authored by a specialist from the discipline another than lattice theory. It appeared that Lattice theory for rough sets by Jouni Järvinen (called LTRS for short) was quite a reasonable choice to be a testbed for the current formalisation both of lattices and of rough sets. A popular computerised proof-assistant Mizar was used as a tool, hence all the efforts are available in one of the largest repositories of computer-checked mathematical knowledge, called Mizar Mathematical Library.
DOI: 10.3233/FI-2016-1406
Journal: Fundamenta Informaticae, vol. 147, no. 2-3, pp. 223-240, 2016
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