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With respect to the problem of improving the consistency of linguistic judgment matrix, a new method for improving the consistency of linguistic judgment matrix is proposed in this paper. Firstly, the linguistic judgment matrix is transformed into reciprocal matrix. Secondly, a method for improving the consistency of reciprocal matrix is constructed according to the exiting results. Secondly, the...
Regarding assessment level of experts in group decision making based on different granularity linguistic judgment matrices, the linguistic judgment matrices are quantified through constructing transfer function in this paper, the matrices are transformed into the reciprocal matrices with 1-9 scale, furthermore a method to assessment level of experts is proposed based on the theory of mathematical...
This paper gives a new analytical solution for assessment level of experts in multi-attribute group decision-making. A new consistent estimator is made by the method on basis of mathematical statistic theory, according to experts' information provided in decision-making matrices, assessment level of experts is estimated and judged adversely, that is difference of assessment level and estimation of...
This paper examines the efficient quantization of LSP parameters for very low bit rate vocoder below 300 bps, a new quantization scheme called variable dimension matrix quantization (VDMQ) is presented. In the VDMQ scheme, the extracted LSP parameters matrix with variable dimension is quantized directly without dimension conversion. Based on the distance measure definition between tow LSP matrices...
The weight estimation approach for uncertainty judgment matrix-interval grey numbers complementary judgment matrix in analytical hierarchy process (AHP) is studied. First, the random certainty judgment matrix of the interval numbers complementary judgment matrix is defined based on the random simulation idea. Then, the weight of the interval numbers complementary judgment matrix is expressed via the...
Fuzzy clustering is an important approach in data mining. It has been applied broadly in many aspects and receiving great attention from enterprisers and scholars. This paper makes use of MATLAB language to produce a fuzzy clustering algorithm for classifying electric power companies according to some general financial indexes at the end of 2006, such as ratio of operating income, ratio of stockholder's...
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