
Summary: We investigate in this paper approximate operations on sets, approximate equality of sets, and approximate inclusion of sets. The presented approach may be considered as an alternative to fuzzy set theory and tolerance theory. Some applications are outlined.
logika rozmyta, zbiory, informatyka, approximate equality of sets, Learning and adaptive systems in artificial intelligence, teoria zbiorów przybliżonych, sieć przepływowa, grafy przepływowe, automatic classification, Fuzzy logic; logic of vagueness, approximate inclusion of sets, inductive reasoning, approximate operations on sets, sztuczna inteligencja, teoria mnogości zbiorów, logika matematyczna, Classification and discrimination; cluster analysis (statistical aspects), analiza danych, Pattern recognition, speech recognition, pattern recognition, teoria mnogości, Reasoning under uncertainty in the context of artificial intelligence, fuzzy sets, zbiory przybliżone, learning algorithm, tolerance theory, measurement theory, Set theory, cluster analysis
logika rozmyta, zbiory, informatyka, approximate equality of sets, Learning and adaptive systems in artificial intelligence, teoria zbiorów przybliżonych, sieć przepływowa, grafy przepływowe, automatic classification, Fuzzy logic; logic of vagueness, approximate inclusion of sets, inductive reasoning, approximate operations on sets, sztuczna inteligencja, teoria mnogości zbiorów, logika matematyczna, Classification and discrimination; cluster analysis (statistical aspects), analiza danych, Pattern recognition, speech recognition, pattern recognition, teoria mnogości, Reasoning under uncertainty in the context of artificial intelligence, fuzzy sets, zbiory przybliżone, learning algorithm, tolerance theory, measurement theory, Set theory, cluster analysis
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