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The core of fuzzy evaluation on the safety of belt conveying system is membership degree transformation. But the existing transformation methods should be questioned, because redundant data in index membership degree is also used to compute object membership degree, which is not useful for object classification. The new algorithm is: using data mining technology based on entropy to mine knowledge...
The core of performance fuzzy evaluation is membership degree transformation. But the transformation methods should be questioned, because redundant data in index membership degree is also used to compute object membership degree, which is not useful for object classification. The new algorithm is: using data mining technology based on entropy to mine knowledge information about object classification...
In any multi-indexes uncertainty decisions, if choosing membership function to describe the uncertainty of every space-index value about some status, it must meet membership degree conversion, which must solve the conversion from membership degree of coordinates to membership degree of points. But the present methods affect the credibility of result of decision because of the redundant data. So, by...
The core of fuzzy evaluation on the safety of chemical industrial park is membership degree transformation. But the transformation methods should be questioned, because redundant data in index membership degree is also used to compute object membership degree, which is not useful for object classification. The new algorithm is: using data mining technology based on entropy to mine knowledge information...
Usually, data mining is considered as the nontrivial extraction of implicit, previously unknown, and potentially useful information from data. In our data-driven data mining model, knowledge is originally existed in data, but just not understandable for human. Data mining is taken as a process of transforming knowledge from data format into some other human understandable format like rule, formula,...
The fuzzy quotient space model is a hybrid model between quotient space theory and fuzzy set theory, which are two important methods in granular computing models, and it is based on fuzzy equivalence relation. There are many algorithms with high complexity for computing the fuzzy equivalence matrices. A new algorithm is proposed to compute the fuzzy equivalence matrices in this paper, and its time...
In incomplete, uncertain or fuzzy information processing, a universe could be divided into some subparts which might be a covering space of the original universe according to some dividing principle. Several researchers have proposed some covering space models for uncertain information processing. A covering space could be taken as a fuzzy knowledge space while a partition space as a crisp knowledge...
The classical rough set theory developed by Prof. Z. Pawlak can't process incomplete information systems directly. A new method based on fuzzy-clustering is proposed in this paper. The nonequivalence relation defined in incomplete information systems is transformed into an equivalence relation at first, then the variable upper-approximation, variable lower-approximation and variable positive region...
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