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The study on decision making is of important guide for theory and practice. Based on the theories of fuzzy recognition, the pattern of multiple objects and multiple dimensional grey-fuzzy decision making with self feedback is presented in this paper. Firstly, according to the given weights, weighting integrated value of decision making is computed. Secondly, the method of fuzzy recognition with single...
The variety and complexity of virus harm cause there is few practical evaluation methods currently. The paper first presents harms' definition and classification of the virus. Then representative first-level and second-level evaluation indexes are proposed. However, as these evaluation factors could hardly be assigned with definite values and somewhat have fuzziness, the paper constructs a fuzzy evaluation...
In order to realize evaluation of oil storage safety, clear the redundant data in indexes membership which is not useful for goal classification, based on data mining of entropy, mining knowledge information about object classification hidden in every index, affirming the relation of object classification and index membership, eliminating the redundant data in index membership for object classification...
This paper presents novel mathematical models to decide similarity functions for experience-based and dynamic experience-based fuzzy classification. By extending crisp partition to fuzzy partition and introducing statistical approach, we firstly establish models for experience-based fuzzy classification. Based on these models, we propose a new mathematical model for dynamic experience-based fuzzy...
The core of project risk fuzzy evaluation is membership transformation, but the transformation algorithm includes redundancy that is useless for classification. In order to overcome the redundancy, we can excavate the information of the object classification hided in index membership to define the divisional right by the method of data excavation based on entropy, delete redundant index membership...
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