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As the rough set theory can fully reflect the objectivity of the data, without providing any prior knowledge other than the data information, many scholars have studied the weight determination method based on rough set theory.
Knowledge Reduction.
Knowledge reduction is the core of rough set theory.
To calculate the attribute importance of indicators in above procedure, the discrete data processing, the selection of discrete values refer to reference 5, the discrete data table is shown in table 2; then the simplified data table is shown in table 3.
Rough sets: theoretical aspects of reasoning about data.

If the LCF data is to be used to directly assess the life of a component, the crack size at the point of initiation must be known and compared to the dimensions of the critical location in the component.
If the definition of initiation results in large crack sizes before the load drop criterion is used, the data may give un-conservative life predictions for e.g. thin-walled components.
A better model response with respect to experimental data could probably be obtained by using a threshold effect in the kinematic hardening, cf. [7] or by using a Ohno-Wang type of model, e.g. cf. [8], [9].
This data agrees well with the FE-results from both elastic and elastic-plastic analyses, and is still not affected by the applied Rϵ.
This was shown to give good results, but require experimental data of sufficient quality.

The cell voltage, electrolyte temperature, and CR of these cells were reduced with the days of operation and agreed with the data published elsewhere [6, 10] and with Q-350 cells [21].
This result agrees with data published elsewhere [35], where reducing the cell instability from 0.072 to 0.063 µΩ led to an increase in the current efficiency by 2 % and a decrease in the energy consumption by 0.23 kW/kg Al [35].
Many thanks to the head of R & D and staff of production research for their continuous encouragement and supplying with some valuable data during this study.
And I had full access to all study data, take full responsibility for the accuracy of the data analysis, and have authority over manuscript preparation and decisions to submit the manuscript for publication.
Guerard, Non-intrusive freeze layer detection method in an aluminum reduction cell, Light Metals (2015) 571-576

The data acquisition is performed with a CMM and a self-centering technique to measure conical sockets manufactured in the faces of pattern artifacts.
· Data acquisition to determine the model using pattern artifacts and measuring them
Data acquisition Spheres are typically used to materialize, through its center, a single point in space.
In a process optimization [7] the coefficients of the polynomial error functions are varied until the measured data and the modeled data match.
Error reduction.

Nowadays, the government has gradually focused on the energy-saving emission reduction in order to build the resource-conserving and environment-friendly society.
However, different regions have distinguishable contributions to the energy-saving emission reduction.
Data and results Data description.
It is used the panel data of 28 provinces (autonomous regions or municipalities) in mainland China from 1985 to 2010(Chongqing, Tibet and Hainan are excluded due to the statistical data missing).
All these data are derived from China Statistical Yearbook, China Energy Statistical Yearbook, China Environment Statistical Yearbook, and provincial statistical yearbook published by the National Bureau of Statistics and provincial Bureau of Statistics of China.

Current industrial carbon emissions studies are usually using some converted macro area statistics data, however, this kind of large scale carbon emissions calculation applied to regional scale can cause error.
Data Source and methods The relevant data is supplied by the “Shenzhen Statistical Yearbook 2012” and the enterprise data from the Economy Science Department of Pingdi sub-district office.
Since lacking of the directly data of monitor, most of the current measure research are based on the estimation of energy consumption.
Since there is no directly monitoring data, most of domestic research takes on the estimation of indirect conversion in China now.
Limited by the relatively more parameters and less statistical energy data of the second method, we applied the third method.

Individual countries defined a progressive scale for the emission reduction applied to automotive vehicles.
The authors also estimate the overall effect of the Phase 3 standard on oil savings and CO2 emission reductions.
Temperature data is recorded using an MGC data acquisition module connected to type K thermocouples.
The data is acquainted with a 1 Hz frequency.
As the vehicle moves with higher speeds, heat transfer increases, leading to a temperature reduction.

The particle swarm optimization (PSO) is employed to get the optimal rolling reductions.
Some single target optimization methods for rolling reductions in introduced in reference [2-3].
The reasonable load distribution cannot only make the shape and thickness control more easily, but also decreases energy loss. 2.Rolling load distribution Load distribution of rolling mill is to identify the rolling reduction (or the outlet thickness) of each frame according to certain rolling conditions, including the original data and the requirements of the finished product specifications.
The total rolling reduction of the six frame is =26.5mm.
What’s more, the rolling reduction of the 4-th, 5-th, and 6-th frame decreases in proper order.

Implementing the security monitoring and control can timely provide the critical data and information on the security control of the artificial island and also monitor the data acquisition and analysis, which offer a reference value of the information engineering technology on the artificial island construction[3].
The safety monitoring system should include sensing systems, data acquisition as well as analysis systems and the monitoring center.
The sensing system includes a program of the perception of component selection and layout of sensor networks in the structure; data acquisition and analysis systems are composed of a powerful computer system, which can realize different physical signal acquisition and preprocessing.
To ensure reliable monitoring data, the feasible reference control method must be considered and ensure that the sensing instrument has sufficient accuracy and life, measures can be taken: (1) sea Island security monitoring has long cycles and poor environment.
So data acquisition with high precision, better durability optical fiber grating sensor equipment and components are recommended.(2)deep horizontal displacement monitoring, inclinometer tube depth than the potential of the deepest sliding failure surface below and left a certain margin to the bottom of the hole, the pore water pressure monitoring, early to establish a different depth points with different depth of the static pressure correction curve.(3) taking a scientific and reasonable data acquisition and processing method, sifting a large number of monitoring data then receiving the relative real monitoring data and comparing with the theoretical analysis.

Different kernels for structured data, like tree and graph kernels were researched [10,3,13,14,20].
Gartner: A survey of kernels for structured data.
Data Mining and Knowledge Discovery: An International Journal, Volume 8, Issue 1, pp. 53-87, 2004 [16] D.
Motoda: An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data, Principles of Data Mining and Knowledge Discovery: 4th European Conference, PKDD 2000, pp.87-92 [19] Y.
Wong: On Mutation and Data Flow, PhD Thesis, Purdue University, West Lafayette, Indiana, 1993 [40] X.