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Determination of the index weights AHP establishes the subjective materiality judgments between indexes by fuzzy comparison of evaluation indexes, and through the consistency check to determine the value of the index weights；Entropy method is a method which more objective to determine the index weights by processing the original value of the index data and analyzing the information which carried by indexes.
Determines the index of evaluation sets This paper use the reviews set which formed by the five indicators(A,AA,AAA,AAAA,AAAAA),and these respectively represent the credit rating of low, medium, good, high, very high of the security of grid, In which the ranges of Weighted deviation degree of each class and the Ideal value were: A-level (0.8,1.0), AA-level (0.6,0.8), AAA-level(0.4,0.6),AAAA-level(0.2,0.4),AAAAA-level(0,0.2),then use the cloud model to achieve each comments value ,and constitute the qualitative evaluation of the cloud generator as shown below: Fig.2 The cloud generator Empirical Study This paper conducted an investigation in five regional power grids of similar region and got the original data of nine indicators including the aspect of structural safety, operational safety, stability of the 5 grid in a year.
Due to different data standards, it needs to non-dimensionalize the index so that they are comparable.
The data of the index obtained after processing are as follows: Table 1 Index data for the security of grid evaluation Index Grid1 Grid 2 Grid 3 Grid 4 Grid 5 C1 1.00 0.90 1.00 0.97 0.95 C2 0.95 0.87 1.00 0.94 0.92 C3 1.00 0.81 0.97 0.91 0.85 C4 0.60 1.00 0.50 0.70 0.90 C5 0.70 0.90 0.60 0.80 1.00 C6 0.73 0.91 0.68 1.00 0.85 C7 0.74 0.16 1.00 0.59 0.44 C8 1.00 1.00 1.00 1.00 1.00 C9 1.00 1.00 1.00 1.00 1.00 According to data on the table, firstly, the objective weight value for C-index is W1 based on the calculation process of entropy theory; then, through comprehensive comparison of indexes, the subjective weight value for C-index is W2 by the calculation process of AHP.
Table 3 The Grid’s Security Credit Grade Evaluation Results Grid Activated(level) Credit Rate 1 0.2419 AAAA high 2 0.4969 AAA good 3 0.1796 AAAAA very high 4 0.3655 AAAA high 5 0.4328 AAA good Analysis the data table above, the third grid has he highest level of security, reaching the AAAAA level, which indicate that the overall installation is very good.

Handbooks of mechanical properties typically only give data for the as-cast condition [e.g. 2].
Data is presented with the stress axis showing (a) maximum cyclic stress and (b) the ratio of maximum cyclic stress : tensile strength.
Axial S-N data measured at R = 0.1.
Data at 10 7 cycles are run-outs
Although the results quoted here are encouraging, there is considerable scatter in the fatigue data and its cause has yet to be ascertained.

The main purpose of this study is to provide an ANNs model, knowledge and data on Deuterium–Tritium (D–T) fusion neutron induced damage in MOS devices.
In a second step we arrange the data into training, validation, and test subsets.10% of the data are taken for the validation set, 20% the test set, and 70% training set.
The sets are picked as equally spaced points throughout the original data.
In Figure 4, Note that the data loading is: training base, test base, number of layers and neurons, type of the transfer functions, number of iteration and estimate threshold.
Ross Doherty, Incorporation of endf-v neutron cross section data for calculating neutron-induced single event upsets, ieee transactions on nuclear science, vol. 36, no. 6, december 1989

There is a contradiction between high sensitivity for interference monitoring and reduction of the false alarm probability (Pf).
Measured data from experiments verified the validity of the method.
Too small, single segment is made to have too many data points while too few data segments are get, thus unable to obtain a suitable initial noise spectral density value.
Through the previous analysis, in the algorithm, take K equal to 1/32 of N is suitable, where N is the data points of average windowed periodogram power spectral density.
Transmit the collected interference data to a computer, detect interference from the data, record and analyze the test results.

To keep safe operation of power grid, effective harmonic reduction methods must be taken.
Some systems are based on PC associated with off-the-shelf data acquisition component[5,6].
This kinds of system provides abundant memory space for captured data, powerful data processing and analysis ability as well as visual GUI (Graphical User Interface).
The Synchronous Sampling When performing the FFT, all data for the operation is required to be included in a integer cycle, otherwise spectral leakage will occur[8].
The Design of the System Software The software system of the harmonic analyzer mainly includes AC sampling control, FFT, high-precision frequency measurement, parameters computing and data communications.

First, few aquatic physiochemical and distribution data are available for aquatic species, and strongly predictive environmental variables for establishment are unknown for many (or most) aquatic species.
The initial risk management The mediate risk management The final risk management decision policy Risk Assessment (on the information which we have understood) Risk Assessment The overall Risk Assessment Risk Assessment Risk management decision New data and information ssinformati Alternatives Assessment New data and information Fig.1 The management processes of applying the precautionary principle In this management processes, the precautionary principle runs through the risk management.
Using the new data and information in the risk assessment, we can overcome obstacles due to insufficient information on the risk management of invasive species.
Using the new data and information in the risk assessment, we can overcome obstacles due to insufficient information on the traditional risk management of invasive species.
“long-term changes in zooplankton biomass concentration and mean size over the nnorthwest European shelf inferred from continuous plankton recorder data.

The measured data can not be compared with the results by finite element method.
The ultrasonic velocity data indicate that the computed plastic zone, denoted by shaded area shown in Fig. 5(a), is reasonable.
When other αand κof D-P yield criterion is used to model the excavation of the problem, the results deviate more from the measured data than those computed by Eq. (4).
Table 2 The deformation by the extensometers( data in the bracket are obtained by finite element method).
Zheng, S.Y.Zhao and W.D.Deng: Numerical simulation on failure mechanism of rock slope by strength reduction FEM.

As there are less data for mining, processing and transportation of raw materials and fuel, the construction stage was expressed with relatively accurate life cycle cost.
That is, providing the weighting of various environmental impact types, and then further processing and analyzing the data.
Therefore, the reduction of industrial boiler resource consumption should start with the coal resource.
Economic data in the collected inventory can be classified, non-environmental impact data to internal costs and environmental impact data to external costs.
According to the model and determined data, the external costs in the boiler life cycle were calculated, as shown in Fig. 4.

There was reduction in wear rate in the case of the PEEK material deployment as comparable to UHMWPE and metals as biomaterials.
The clinical data of the utilization of PEEK material is absent. 3.
The unproven data of the Co and Cr particles in blood stream effects significantly natural limits of cell, which can cause affects like mutagenesis and carcinogenesis.
It is discovered that there is substantial reduction the CoCr particles (Chromium) levels in some of the experiment results.
Cales, “Zirconia as a sliding material: histologic, laboratory, and clinical data,” Clin Orthop Relat Res, no. 379, pp. 94–112, Oct. 2000

In what follows, reference to data reported by other workers will be complemented by a brief comment on the method employed in each particular case.
The deformation was found to involve neither GBS nor cooperative GBS, which is in conflict with the data reported in [37].
It is, therefore, concluded that the controversy between the data reported in [36] and [37] might be attributed to a difference in the grain boundary state of the studied materials.
Matching of the data presented in Table 2 reveals that the values Qс obtained for NS metals are lower relative to the CG counterparts by 2 – 2.5 times.
Qc, [kJ/mole] Qb, [kJ/mole] Qv, [kJ/mole] Qd, [kJ/mole] NS copper 72±15 62 [10] CG copper 186±17 104 [9] 196 [9] 117 [9] NS nickel 115±13 61 [11] CG nickel 280±15 115 [9] 284 [9] 170 [9] The Qс data obtained experimentally for studied NS metals was matched against the available Qv and Qd data; the values Qс are found to be significantly lower than the values Qv and Qd (Table 2).