Abstract
The paper presents original tests for verification of estimates of the tolerance relation, obtained of the basis of multiple independent pairwise comparisons, in binary and multivalent form, with random errors. The tolerance relation is the equivalency relation with non-empty intersections. The estimates are obtained with the use of the idea of the nearest adjoining order (NAO), i.e. minimization of differences between relation form and pairwise comparisons. The tests are based on exact or limiting distributions of proposed statistics. The estimates do not require simulations, as the tests presented in Klukowski (2011), i.e. their computational cost is not high.
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Klukowski, L. (2021). Tests for Estimates of the Tolerance Relation Based on Pairwise Comparisons in Binary and Multivalent Form. In: Atanassov, K.T., et al. Advances and New Developments in Fuzzy Logic and Technology. IWIFSGN 2019 2019. Advances in Intelligent Systems and Computing, vol 1308. Springer, Cham. https://doi.org/10.1007/978-3-030-77716-6_12
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DOI: https://doi.org/10.1007/978-3-030-77716-6_12
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