Titlebook: New Directions in Rough Sets, Data Mining, and Granular-Soft Computing; 7th International Wo Ning Zhong,Andrzej Skowron,Setsuo Ohsuga Confe

FANG

Decision Rules, Bayes’ Rule and Rough Setsthe Bayes’ rule it is assumed that some prior knowledge (prior probability) about some parameters without knowledge about the data is given first. Next the posterior probability is computed by employing the available data. The posterior probability is then used to verify the prior probability..In th

非秘密

A New Direction in System Analysis: From Computation with Measurements to Computation with Perceptiorelevant information is a mixture of measurements and perceptions..It is a long-standing tradition in science to deal with perceptions by converting them into measurements. As is true of every tradition, a time comes when the underlying assumptions cease to be beyond question..A thesis advanced in o

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audiologist

Discovery of Rules about Complicationsient sometimes suffers from several diseases and has complicated symptoms, which makes a differential diagnosis very difficult. For example, in the domain of headache, a patient suffering from migraine, (a vascular disease), may also suffer from muscle contraction headache (a muscular disease). In t

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Classifying Faults in High Voltage Power Systems: A Rough-Fuzzy Neural Computational Approachting framework. Typical error signals important for fault detection in power systems are considered. Features of these error signals derived earlier using Fast Fourier Transform analysis, amplitude estimation and waveform type identification, provide inputs to a neural network used in classifying fa

Cardiac

Toward Spatial Reasoning in the Framework of Rough Mereologyssential ideas of rough mereology and schemes for approximate reasoning in distributed systems based on rough mereological logic were presented in [13,14,17]. Spatial reasoning is an extensively studied paradigm stretching from theoretical investigations of proper languages and models for this reaso

围裙

An Algorithm for Finding Equivalence Relations from Tables with Non-deterministic Informationthan . and we try to develop the rough sets theory depending upon .. We first give a definition of definability for every object set ., then we propose an algorithm for checking it. To find an adequate equivalence relation from . for . is the most important part in this algorithm, which is like a re

Trabeculoplasty

On the Extension of Rough Sets under Incomplete Informationlizations of this theory. The first proposal is based on non symmetric similarity relations, while the second one uses valued tolerance relation. Both approaches provide more informative results than the previously known approach employing simple tolerance relation.