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Approximate real-time decision making: Concepts and rough fuzzy Petri net models.

, , , , and . Int. J. Intell. Syst., 14 (8): 805-839 (1999)

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A New Method for Determining of Extensions and Restrictions of Information Systems., and . Rough Sets and Current Trends in Computing, volume 2475 of Lecture Notes in Computer Science, page 197-204. Springer, (2002)Functional Extension of the RSDS System., and . RSCTC, volume 4259 of Lecture Notes in Computer Science, page 786-795. Springer, (2006)Approximate Petri Nets for Rule-Based Decision Making., , and . Rough Sets and Current Trends in Computing, volume 3066 of Lecture Notes in Computer Science, page 733-742. Springer, (2004)Modified Generalised Fuzzy Petri Nets for Rule-Based Systems.. RSFDGrC, volume 9437 of Lecture Notes in Computer Science, page 196-206. Springer, (2015)Rough Neurons: Petri Net Models and Applications., , , and . Rough-Neural Computing: Techniques for Computing with Words, Springer, (2004)Inhibitory Rules in Data Analysis: A Rough Set Approach, , , and . Studies in Computational Intelligence Springer, (2009)Linear-algebraic representation of generalised fuzzy Petri nets.. IFSA/NAFIPS, page 226-231. IEEE, (2013)Pawlak Collaboration Graph and Its Properties., , and . RSFDGrC, volume 6743 of Lecture Notes in Computer Science, page 365-368. Springer, (2011)Maximal consistent extensions of information systems relative to their theories., , and . Inf. Sci., 178 (12): 2600-2620 (2008)Toward Intelligent Searching the Rough Set Database System (RSDS): an Ontological Approach., and . Fundam. Informaticae, 101 (1-2): 115-123 (2010)