scholarly journals A study on the fuzzy evaluation system of carbon dioxide flooding technology

Author(s):  
Yu Lu ◽  
Rui Liu ◽  
Kexin Wang ◽  
Yongqiang Tang ◽  
Yue Cao

2013 ◽  
Vol 291-294 ◽  
pp. 1562-1567
Author(s):  
Ji Min Hu ◽  
Jian Long Gu ◽  
Chang Cui Hu ◽  
Hai Feng Wang

According to indicators’ information repetition and subjectivity of the indicators’ weight set during the variable fuzzy comprehensive evaluation, Principal Component analysis can help solve the weight of the relative indicators and reduce comprehensive evaluation dimensions of the variable fussy comprehensive evaluation. This paper has made a comprehensive evaluation of the status quo of Yunnan’s low carbon economy development(2005-2009), which turns out to be more practical compared with the mere variable fussy theory analysis, thus, principal component-variable fuzzy evaluation is a kind of feasible way to analyze the regional low carbon development status.





2021 ◽  
Author(s):  
Xianwen Cheng ◽  
Yao Li ◽  
Qiyu Huang ◽  
Yaping Li ◽  
Xin Liu


2021 ◽  
pp. 37-39
Author(s):  
John A. Elefteriades ◽  
Bulat A. Ziganshin


1965 ◽  
Vol 50 (5) ◽  
pp. 691-698 ◽  
Author(s):  
A. Burbank ◽  
T.B. Ferguson ◽  
T.H. Burford


2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Lifang Yang ◽  
Tianjiao Zhao ◽  
Fanyu Meng

The firefighting operation motion has an important impact on the safety and comfort of firefighting operation. As a judgment criterion of the firefighting efficiency, the comfort level is hard to judge in that it is completely decided by human feeling, so the comprehensive fuzzy evaluation is utilized for evaluation of comfort level. In this paper, firstly the factor and judgment set of firefighting operation comfort level are determined, and the fuzzy weight evaluation is obtained by questionnaires and analytic hierarchy process. Secondly, the joint angles of some particular motions are determined by motion capture equipment, the moment is obtained by ergonomic engineering software, and then the comprehensive comfort evaluation on firefighting operation motion is completed. Finally, the objective evaluation system of firefighting operation comfort is established.



2015 ◽  
Vol 105 (3) ◽  
pp. 335-346 ◽  
Author(s):  
J. Shen ◽  
N. Zhang ◽  
Gexigeduren ◽  
B. He ◽  
C.-Y. Liu ◽  
...  

AbstractGrasshopper plagues have seriously disturbed grassland ecosystems in Inner Mongolia, China. The accurate prediction of grasshopper infestations and control of grasshopper plagues have become urgent needs. We sampled 234, 342, 335, and 369 plots in Xianghuangqi County of Xilingol League in 2010, 2011, 2012, and 2013, respectively, and measured the density of the most dominant grasshopper species, Oedaleus decorus asiaticus, and the latitude, longitude, and associated relatively stable habitat factors at each plot. We used Excel–GeogDetector software to explore the effects of individual habitat factors and the two-factor interactions on grasshopper density. We estimated the membership of each grasshopper density rank and determined the weights of each habitat category. These results were used to construct a model system evaluating grasshopper habitat suitability. The results showed that our evaluation system was reliable and the fuzzy evaluation scores of grasshopper habitat suitability were good indicators of potential occurrence of grasshoppers. The effects of the two-factor interactions on grasshopper density were greater than the effects of any individual factors. O. d. asiaticus was most likely to be found at elevations of 1300–1400 m, flat terrain or slopes of 4–6°, typical chestnut soil with 70–80% sand content in the top 5 cm of soil, and medium-coverage grassland. The species preferred temperate bunchgrass steppe dominated by Stipa krylovii and Cleistogenes squarrosa. These findings may be used to improve models to predict grasshopper occurrence and to develop management guidelines to control grasshopper plagues by changing habitats.



2010 ◽  
Vol 108-111 ◽  
pp. 878-883
Author(s):  
Xiu Chen Wang

Aaccording to the cases that the synthetic quality evaluation system for fabric is not reasonable at present, a new synthetic quality evaluation system for fabric on fuzzy theory is proposed. This new evaluation system is made of foundation layer, evaluating layer and result layer. In foundation layer, the quality standard model and evaluating data model based on multi-indexes are proposed, and the calculation method of each index value in these models is given. In evaluating layer, according to the problem that the result of existing closeness algorithm has greatly repeated, a new evaluation algorithm is proposed. In result layer, two formulas which are continuous result and discrete result are given. Also the accuracy and rationality of this evaluation system is validated by some examples in this paper, and the effect of evaluation result by the primary-secondary indexes, the significance of closeness, the expansibility of model, the accuracy of system and the application method are made analysis. At last, the conclusion shows that this system can make the synthetic evaluation for fabric quality rationally and accurately.



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