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This paper reports the application of weights -of- evidence , artificial neural networks, and fuzzy logic spatial modeling techniques to generate prospectivity maps for gold mineralization ...
management process and BSC. The AHP method was used to design the index weights , and the fuzzy evaluation was implemented to obtain the overall evaluation value and values of concrete indexes at all levels ...
, and semantic characteristics by applying data mining techniques from online user reviews [40]. Although this multi-process conceptualization of multiple determinants for review effectiveness is emerging ...
ontology from unstructured data . Whereas, data mining and web content mining techniques are more applicable when it comes to learning ontology from semi-structured data . In their survey, they discussed ...
single method between the PCA and Entropy methods will be the best choice for establishing the indexing measurement to the coal mine applications . Subjective weighting methods Subjective weighting methods ...
recently, machine learning, deep learning and data mining techniques . Among the various analytical frameworks available in sports analytics, in this paper, we adopt an approach to extract events from sports ...
is designed to extract the exact data features to improve the discriminant accuracy, and a fuzzy transformed PCA technique is employed to reduce the model uncertainty and thus to help reduce the classification ...
to obtain a more objective and comprehensive evaluation result using fuzzy mathematics [5, 6]. The use of FCE in the application of SMHR has significant advantages and broad application prospects due to its ...
to assess the COR in top coal caving. The technique consists of four phases: data analysis, parameter identification, fuzzy inference and knowledge representation. 3.1 Data analysis In order to study ...
research of similar schemes. These coefficients can be considered as the objective weight of the four criteria based on the sample data . The equation is as follows: (8) 3.4 Grey- fuzzy comprehensive decision ...
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