fuzzy mathematics model
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2015 ◽  
Vol 39 (7) ◽  
pp. 1784-1793 ◽  
Author(s):  
Wen-Xiu Li ◽  
Dong-Liang Qi ◽  
Shao-Feng Zheng ◽  
Jing-Chao Ren ◽  
Ji-fei Li ◽  
...  

2015 ◽  
Vol 742 ◽  
pp. 390-394
Author(s):  
Fei Ma ◽  
Hong Gu ◽  
Wei Hua Xu ◽  
Qin Qin Tao

The method of make-to-order has gradually become the primary mode of production. It is an extremely important ability for enterprises to make production scheduling and response to the changes of customer demand agiely. Therefore, this paper mainly deals with how to evaluating order priority in the mode of make-to-order. For this question, an evaluation index system and a model of fuzzy mathematic system evaluation are established. Through empirical analysis, the model and evaluation system are found feasible and valid.


2014 ◽  
Vol 580-583 ◽  
pp. 1288-1292
Author(s):  
Yi Bo Sun ◽  
Man Yao Feng

The Tanjiaba tunnel lies in Hurongxi highway in Hubei Province. There are some middle karstified soluble rocks and a fish pool above the tunnel. To avoid the disaster of water inrush into the tunnel, risk evaluation is necessary to guide the construction. Fuzzy mathematics model is put forward to distinguish potentially dangerous parts along the tunnel. Use the fuzzy mathematics model differentiated the tunnel into 4 ranks of dangerous parts according to risk index. It is applied in the Tanjiaba tunnel and practice approves that the model are useful.


2013 ◽  
Vol 726-731 ◽  
pp. 3943-3946 ◽  
Author(s):  
Hai Wei Xie ◽  
Yan Zhang

As choosing a combined SO2/NOx removal technology, there are many factors, which all have fuzzy character. Therefore the comprehensive fuzzy evaluation is the best method. In this paper a two-stage fuzzy mathematics model is presented to evaluate the comprehensive performance of combined SO2/NOX removal technology by determining factor set, evaluation set, evaluation matrix and weighting set. This evaluation model takes all factors into account while emphasizing key points by choosing the two arithmetic operators max-product and add-product. Eight kinds of important combined SO2/NOX removal technology, including activated carbon, CuO, NOXSO, SNAP, WSA-SNOX, SNRB, Parsons flue gas process and electron-beam method, are evaluated and the evaluated result is presented. In the situation as the paper assumed, WSA-SNOX technology is the best.


2012 ◽  
Vol 253-255 ◽  
pp. 1005-1008 ◽  
Author(s):  
Qi Li ◽  
Ya Fen Han

In this paper, concentrations of six heavy metals (Cr, Mn, Cu, Zn, As, Pb, Fe) in soils from different function zones of Suzhou city were determined and analysed by X-Ray fluorescence spectrometer and fuzzy mathematics model. The results show that concentrations of all except Zn were within the national second class standard, but that of all heavy metal were higher in soil background values in Anhui province; concentrations of heavy metal were different in different function areas, and heavy metal pollution was more serious in commercial area, industrial area and near the station than in residential suburb, cultural and education districts; the contaminate level of every sampling site by fuzzy mathematics model was: 7>19>6>9>14>1>17>20>4>11> 23>8>22>3>10>12>5> 16>15>2>13>18>21.


Author(s):  
Niu Yanshao

Evaluation indicator is the basis of evaluation. Firstly, this paper constructed a evaluationindicator system referred to tax policy performance to technology innovation enterprisefrom four dimensions based on balanced scorecard. Secondly, we used the analytic hierarchyprocess to calculate the weights of strategic level, target layer, index layer and indicators in theoverall weight of the balanced scorecard. Lastly, fuzzy mathematics model was employed tocalculate the membership degree of the indicators.


2010 ◽  
Vol 34-35 ◽  
pp. 815-819
Author(s):  
Xiang Zhen Yan ◽  
Bao Hui Wang ◽  
Xiu Juan Yang

Considering the various influencing factors of enrichment of coal bed methane, the evaluation indexes of enrichment for coal bed methane are determined. The weight values of all factors indexes are given and the fuzzy mathematics model is established on the basis of the fuzzy mathematics. As a case study, the fuzzy mathematics model is applied to the assessment of enrichment of coal bed methane. The results show that the No.5 coal seam of Shan 2 of Shanxi formation in Daning-Jixian is a better enrichment area. The evaluation result performed on the basis of the fuzzy mathematics model is in good agreement with the measured result. The example indicates that the method is credible and has high precise. The assessment system established in the paper can be regarded as a reference model in coal bed methane exploitation potential assessment.


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