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To improve the safety of EV battery replacement stations, grey correlation and grey entropy evaluation models are established based on normalized processing evaluation objects and the ideal object, and the system safety influence degree is evaluated according to different weights evaluation objects in the models. For the battery replacement stations safety evaluation, the safety assessment model is...
This paper reports a hypergraph model for online social networks with an emphasis on the node preference. Some improvements of the model are made in the present study. First, the inherent nodes properties and their links are utilized in the proposed evaluation model. Second, the proposed model contains a topology potential value of node, which is based on cognitive data field in physics. In the calculation...
Data anonymization techniques are the main way to achieve privacy protection, and as a classical anonymity model, K-anonymity is the most effective and frequently-used. But the majority of K-anonymity algorithms can hardly balance the data quality and efficiency, and ignore the privacy of the data to improve the data quality. To solve the problems above, by introducing the concept of “diameter” and...
A wide variety of real-world applications generate massive high dimensional categorical datasets. These datasets contain categorical variables whose values comprise a set of discrete categories. Visually exploring these datasets for insights is of great interest and importance. However, their discrete nature often confounds the direct application of existing multidimensional visualization techniques...
In this paper, an approach is proposed for the multiple attribute decision making problem with uncertain interval information based on maximum entropy theory. The attribute weights are determined by maximizing the entropy of the interval decision matrix. The overall interval values of alternatives across the attributes are then calculated, based on which the superiority possibility between the alternatives...
This paper proposes an entropy-based approach to customer value assessment while customers' information are interval numbers. The decision matrix in the form of interval is normalized firstly, In the process of determining the attribute weights, the normalized decision matrix is transformed into a definite one by maximizing entropy of the attributes. Then, the weights of attributes are determined...
With regard to the fuzzy multi-attribute decision making (FMADM) problems, in which the information about attribute weight s are unknown completely and the attribute values are in the form triangular fuzzy numbers, a method based on entropy weight of the fuzzy information is proposed. The entropy w eight is given through fuzzy interval arithmetic based on level sets and optimistic index, then analyses...
In this paper, we utilize rough set theory as a tool to deal with the problem of null-value estimation in an incomplete information system, a rating mechanism in collaborative filtering technology is introduced into this paper for the weakness of null value estimation based on similar relational algorithm (SIM-EM), such as no sparse degree process and low accuracy, and an improved null value estimation...
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