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A fuzzy rule-based system can model prior probabilities in Bayesian inference and thereby approximate posterior probabilities. This fuzzy technique allows users to express prior descriptions in words rather than as closed-form probability density functions. Learning algorithms can tune the expert rules as well as grow them from sample data. The learning laws and closed-form approximations have a tractable...
This paper introduces a parallelized variant of the Random Sample Matching (RANSAM) approach, which is a very time and memory efficient enhancement of the common Random Sample Consensus (RANSAC). RANSAM exploits the theory of the birthday attack whose mathematical background is known from cryptography. The RANSAM technique can be applied to various fields of application such as mobile robotics, computer...
In present paper, based on the classical fuzzy entropy,the fuzziness of variable precision rough sets in generalized approximation space are discussed by the axiomatized method. And the same time, a general framework that is studied the fuzziness of the rough sets in generalized approximation space is given. Meanwhile, the probability measure is introduced to the generalized approximation space and...
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