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The rough set theory deals with identifying structural relationships in the data and it is useful in discovering potentially significant facts or data patterns in multidimensional attribute collections.
In a word, RSBPNN model through rough set to do data reduction uses the dataset as the design basis and training data of BP neural network, thus the two methods can complement each other.
This paper adopts the data from 2001 to 2006 as the training sample, the data have been disposed by tab.1.
“Equal frequency binning” in the ROSETTA software is used to do the data discrimination, and The Johnson's algorithm in the ROSETTA software is used to do attribute reduction.
[5] Ivo Diintsch, GUnther Gediga, “Rough set data analysis.”

Cluster analysis is conducted based on water quality using data collected between 2008 and 2012.
The multi-variable statistical method is applied to the monitoring data from four years to understand the data structure and variation in water quality under different management organizations.
Factor scores are projections of the data onto the corresponding eigenvectors.
Factor scores were used in the cluster analysis primarily because the data included a few groups of highly correlated variables.
The resulting matrix of water quality data for analysis has the dimension [118x17].

Indonesia marine accidents data.
The qualitative method is started by classifying the generic task based on the accidents data report.
After classifying the generic tasks of each data reports, the next qualitative method is assigning the Error Producing Conditions (EPC) for each data report of accidents.
There are several data which already obtained, the generic task, EPC and Human error probability.
Furthermore, based on the records of marine accidents data, the working environment where the accidents occurred was poor.

According to previous research theory and test results, reinforced corrosion to deteriorate load-bearing role of anchorage support structure system is studied by means of numerical analysis FLAC3D and idea of finite element strength reduction.
And according to idea of finite element strength reduction and results of laboratory test, deterioration analysis parameter caused by corrosion can be reduced accordingly.
The research results can provide data basis for numerical analysis of degradation of RC structure caused by corrosion.
FEM strength reduction principle Determination of the Factor of Safety.For slopes, the Factor of Safety () is traditionally defined as the ratio of the actual soil shear to the minimum shear strength required to prevent failure.
And based on reinforcement mechanical model in FLAC3D and idea of finite element strength reduction, together with results of laboratory test, deterioration analysis parameter caused by corrosion can be reduced accordingly.

The purpose of this paper is to present a method to quantify the costs of potential losses from production processes for new products to prioritize improvement projects based on the target cost and provide data and information for feasibility studies of continuous improvement projects.
The proposed method will help develop scenarios for continuous cost reduction after starting production through continuous improvement of productivity and quality required.
In terms of new products, the originality of our approach is the transformation of losses in costs for future production processes, in order to identify the opportunities for cost reduction, targeting future kaizen projects to reduce costs.
As follows: Target cost reduction/unit: Drifting cost - Allowable cost (first year) (6) Target cost reduction/unit: = 8,314 €/unit – 7,84 €/unit = 0,474 €/unit Total drifting cost: Drifting cost * Sales Quantities (7) Total drifting cost: 8,314 €/unit * 1.300.000 units = 10.808.200 € Total target cost reduction = Total drifting cost - Total allowable cost (first year) (8) Total target cost reduction = 10.808.200 € - 10.192.000 € = 616.200 € Total target cost reduction allocated to processes (Table 2): a) from reduction of losses: Total process losses (P1+P2+P3+P4): 26.000 € + 358.800 € + 68.510 € + 0 € = 453.310 € (non-value-added manufacturing costs); Calculation: P1= (0,1150 € - 0,0950 €) * 1.300.000 units = 26.000 €; P2 = (0,6210 € - 0,3450 €) * 1.300.000 units = 358.800 €; P3 = (0,1680 € - 0,1153 €) * 1.300.000 units = 68.510
Sources of data collection and data collected (monthly average for the last 6 months, plastic injection process - P2): - production department: ü OEE = Value-adding operating time / Loading time (9) ü OEE = 10.550 min. / 13.500 min. = 0,78%.

When we apply the rough set theory, the data in decision table are required to be discrete.
Rough Set: Theoretical Aspects of Reasoning about Data.
A GA-based approach to rough data model.
Intelligent Data Analysis, 2001,5(5): 431-438 [39] Tay E.H., Shen L..
IEEE Transactions on Knowledge and Data Engineering, 2002,14(3):666-670 [40] Su Chao-Ton, Hsu Jyh-Hwa.

The possible mechanism of the “reduction” behavior in BaTi1-xB2xO3+X materials (the role of boron in reduction of Ti4+ to Ti3+ in BaTiO3 lattice) is under investigation.
It is well known that BaTiO3 is converted into a semiconductor via the reduction of Ti4+ to Ti3+ under a reductive atmosphere as shown in Eq. 1.
This is in accord with the literature that temperature of > 1200 ℃ is conventionally required to impose a reduction upon pure BaTiO3 under H2 (Eq. 1).
The data in Table 1 confirms this unexpected outcome, i.e., BaTi0.975B0.05O3.025, with the least amount of BaO-B2O3 flux, yields the highest εr on being sintered under Ar or H2/Ar, though it shows the lowest εr under air.
Further work is undergoing to figure out the possible mechanism of the “reduction” behavior in BaTi1-xB2xO3+X.

The method of liquid reduction on solutions is most used for obtaining only nanopowders of metals (copper, silver, nickel) with low values of the reduction potential.
This color of the solution was shown the production of copper nanoparticles as a result of the reduction reaction.
Ren, A chemical reduction approach to the synthesis of copper nanoparticles, Int Nano Lett, (2016) 21-26
Mirzaeva, Analytical solution of the problem of diffusional transformation under continuous cooling condition based on isothermal transformation diagram data, Materials Performance and Characterization, 2(1) (2013) 134-152
Kirsanova, Liquid-phase reduction of steelmaking wastes, Metallurgist. 59 (2016) 1024-1029

This paper reports the behaviour of the ultra-thin films towards oxygen reduction and an XPS study of their stability.
The electrochemical behaviour towards oxygen reduction of Langmuir Blodgett films of capped Pt nanoparticles deposited on gold supports were studied.
Furthermore, the reduction peak is stable upon prolonged cycles.
Pt/S and Pt/Au ratios intensities before and after 80 cycles of O2 electroreduction in 1M HClO4 at a scan rate of 20 mVs -1 The XPS data show that the assumption of the retention of the capped particles during the electrochemical process is established.
The electrochemical activity towards oxygen reduction of 4-mercaptoanilinefunctionalised platinum nanoparticles over-grafted with 2-thiophenecarbonyl chloride has been investigated.

The model of Azuara and contributors was fitted to experimental data of moisture lost and total solids gain, in the optimal condition and good agreement were obtained.
This variation is explained by the type of experimental analysis, composition and food physiology and the method of the data treatment.
According to data verified in Table 5, the solids gain velocity constantSSG, presented a value well above the moisture loss rate constantSML.
Zárate-Castillo, Modeling of kinetics, equilibrium and distribution data of osmotically dehydration carambola (Averrhoa carambola L.) in sugar solutions.
Hunter, Statistics for experimenters: an introduction to design, data analysis and model building.