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Aquatic product safety assessment is a hot and hard problem in the research field which is one of the important contents in food safety supervision and management, and is composed of all kinds of assessment indexes which are not only dependent, but also independent. To deal with it, a new method was proposed by using core attributes, discernable matrix and so on. Attribute reduction of rough sets...
Attribute reduction is an important problem in an information system. The paper proposed a novel method to reduce the redudant attributes in an incomplete information system based on rough set theory. The method introduce the concepts such as upper-approximate relationship and lower-approximate relationship, equivalence relationship, tolerance relationship, attribute significance and so on, to calculate...
To deal with the risk recognition from the complex risk management, a novel risk recognition method was studied through rule extration based on rough set. According to the indiscernible relation in rough set, a formula to compute attribute importance is put forward based on the concept of similar matrix and attribute frequency in the matrix, which is used as heuristic knowledge in deciding the sequence...
Aiming at high fidelity image only can be encrypted in time domain, summarize the current all kind of encryption methods in time domain. That are only chaos permutation, only chaos encryption and hybrid encryption algorithm. Then, this paper proposed the block chaos image scrambling and chaos encryption with after effect. In the block permutation, give the formula of correlation and compare the correlation...
In order to recover the incomplete data on the WEB page, the paper proposed a new approach based on rough set to reduce the redundant attributes, discretize the continuous attributes and fill up the incomplete data. According to indiscernible relationship, discernible vector were defined and used the discernible vector addition rule to reduce attributes. And then, depending on the concept of super-club...
The design of the model set used in a multiple-model algorithm is one of the most important problems in the application of the multiple-model approach. It is appealing for many applications in practice that the models used are symmetrically distributed. Furthermore, there is a strong incentive to reduce the computational costs which are proportional to the number of the models used. For this reason,...
Model-groups design is one of the most important problems in the application of the multiple-model (MM) estimator with a variable structure. The design of model-groups used in MM approach is considered in this paper. At first, two design algorithms for symmetric model-set are addressed by moment matching solution, if the true mode is a random variable and obeys certain probability distribution. Then...
To make multiattribute decision with incomplete information, the paper proposed a method based on rough set. The paper defined the concepst of breaking points, scan vector and the addition of scan vector to recover the incomplete information system through rough set. Then introduced OWA (ordered weighted averaging) operators to calculate the aggregation value of each project. Finally, obtained the...
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