Application of Fuzzy Mathematics Model in Evaluating Order Priority

2015 ◽  
Vol 742 ◽  
pp. 390-394
Author(s):  
Fei Ma ◽  
Hong Gu ◽  
Wei Hua Xu ◽  
Qin Qin Tao
Keyword(s):  
Production Scheduling ◽  
Evaluation System ◽  
Evaluation Index System ◽  
Fuzzy Mathematics ◽  
System Evaluation ◽  
Mathematics Model ◽  
Make To Order ◽  
Fuzzy Mathematics Model ◽  
Fuzzy Mathematic ◽  
Mode Of Production

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.

scholarly journals Fuzzy mathematics model and its numerical method of stability analysis on rock slope of opencast metal mine

2015 ◽  
Vol 39 (7) ◽  
pp. 1784-1793 ◽  
Author(s):  
Wen-Xiu Li ◽  
Dong-Liang Qi ◽  
Shao-Feng Zheng ◽  
Jing-Chao Ren ◽  
Ji-fei Li ◽  
...  
Keyword(s):  
Stability Analysis ◽  
Numerical Method ◽  
Rock Slope ◽  
Fuzzy Mathematics ◽  
Mathematics Model ◽  
Metal Mine ◽  
Fuzzy Mathematics Model

Study on the Enrichment Degree of Coalbed Methane Based on the Fuzzy Comprehensive Evaluation

2010 ◽  
Vol 34-35 ◽  
pp. 815-819
Author(s):  
Xiang Zhen Yan ◽  
Bao Hui Wang ◽  
Xiu Juan Yang
Keyword(s):  
Coalbed Methane ◽  
Reference Model ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Assessment System ◽  
Coal Bed ◽  
Coal Bed Methane ◽  
Fuzzy Mathematics ◽  
Mathematics Model ◽  
Fuzzy Mathematics Model

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.

An Evaluation on Heavy Metal Contamination of Soils in Suzhou by Fuzzy Mathematics Model

2012 ◽  
Vol 253-255 ◽  
pp. 1005-1008 ◽  
Author(s):  
Qi Li ◽  
Ya Fen Han
Keyword(s):  
Heavy Metal ◽  
Heavy Metal Contamination ◽  
Sampling Site ◽  
Industrial Area ◽  
Fuzzy Mathematics ◽  
Mathematics Model ◽  
Commercial Area ◽  
Suzhou City ◽  
Fuzzy Mathematics Model ◽  
Fluorescence Spectrometer

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.

Water Inrush Risk Evaluation into the Tanjiaba Tunnel

2014 ◽  
Vol 580-583 ◽  
pp. 1288-1292
Author(s):  
Yi Bo Sun ◽  
Man Yao Feng
Keyword(s):  
Risk Evaluation ◽  
Risk Index ◽  
Water Inrush ◽  
Hubei Province ◽  
Fuzzy Mathematics ◽  
Mathematics Model ◽  
Fuzzy Mathematics Model

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.

Research of Cleaner Production System in Phosphate Mine

2013 ◽  
Vol 868 ◽  
pp. 265-270
Author(s):  
Jun Ye ◽  
Sheng Gao Cheng ◽  
Shi Yi ◽  
Jia Song ◽  
Xiao Tong Liu
Keyword(s):  
Analytical Hierarchy Process ◽  
Production System ◽  
Evaluation System ◽  
Evaluation Method ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Fuzzy Mathematics ◽  
Phosphate Mine ◽  
Hierarchy Process ◽  
Mathematics Method

Considering phosphate mine as an object, the text using Analytical Hierarchy Process established a model of cascade evaluation index system. And through the successful experiences of the cleaning production of advanced enterprises of phosphate mine at home and broad, this text determined the recommended value of evaluation index; And in this paper, using fuzzy mathematics method and the success experiences of experts, we put forward a quantitative evaluation method and established a cleaning production evaluation system of phosphate mine.

scholarly journals A Consumer-Oriented Car Style Evaluation System Based on Fuzzy Mathematics and Neural Network

2021 ◽  
Vol 15 ◽  
pp. 986-995
Author(s):  
Wenhui Hou ◽  
Caiwen Niu
Keyword(s):  
Neural Network ◽  
Evaluation System ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Investment Decision ◽  
Fuzzy Comprehensive Evaluation ◽  
Evaluation Index System ◽  
Classification Model ◽  
Fuzzy Mathematics ◽  
Massive Data

As an important link in product development, car style evaluation could ensure the quality of car style design, making the design more efficient, laying the foundation for production planners, production managers, and investment decision-makers in automobile manufacturing. The consumer-centered evaluation should accurately reflect the psychological cognition and subjective feelings of consumers. However, the current studies have not provided a unified evaluation standard, nor fully utilized the massive data on the evaluations made by consumers. Considering in advantages of fuzzy mathematics and neural network in processing massive data on consumer evaluations, this paper designs a consumer-oriented car style evaluation system based on these two techniques. Firstly, a scientific evaluation index system was designed for consumer-oriented car style evaluation, the index scores were classified into different levels, and a judgment matrix was constructed for indices on each layer and subject to consistency check. Next, absolute weights were assigned to alternatives, and the corresponding fuzzy membership functions were determined, producing a fuzzy comprehensive evaluation (FCE) model based on analytic hierarchy process (AHP) (AHP-FCE model) for car style evaluation. Furthermore, car styles were categorized by appearance structure, and the car style samples were parametrized for evaluation. Finally, particle swarm optimization (PSO) was improved, and then combined with backpropagation neural network (BPNN) into a classification model for consumer-oriented car style evaluation. The proposed consumer-oriented car style evaluation model was proved effective and superior through experiments. The results offer a reference for the application of the model in other evaluation scenarios

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