scholarly journals Measuring Wine Industry Efficiency with Wine Industry Network Evaluation Model (WINE-Model)

2020 ◽  
Vol 14 (3) ◽  
pp. 272-284
Author(s):  
Mario Arturo Ruiz Estrada ◽  
Donghyun Park ◽  
Anthony T. H. Chin
Keyword(s):  
Evaluation Model ◽  
Wine Industry ◽  
Network Evaluation ◽  
Industry Network

scholarly journals Trusted Network Evaluation Model Based on Comprehensive Trust

2021 ◽  
Vol 30 (6) ◽  
pp. 1178-1188
Author(s):  
YIN Ansheng ◽  
HUANG Haiping
Keyword(s):  
Evaluation Model ◽  
Model Based ◽  
Network Evaluation

Chooseing Suitable BIM Software for Engineering Projects Based on the Fuzzy Neural Network Evaluation Model

2013 ◽  
Vol 405-408 ◽  
pp. 3348-3351 ◽  
Author(s):  
Jian Feng ◽  
Jian Ping Zhang ◽  
Shun Ping Gao
Keyword(s):  
Neural Network ◽  
Fuzzy Neural Network ◽  
Technology Development ◽  
Evaluation Model ◽  
Case Analysis ◽  
Chinese Market ◽  
Fuzzy Neural ◽  
Network Evaluation ◽  
Set Up ◽  
Engineering Projects

With BIM technology development in the Chinese market, there are many different BIM software invented. How according to the engineering characteristics and needs to select the appropriate software in numerous BIM products, will be save a lot of manpower and resources. These paper will based on literature research and case analysis, find out the appropriate project between BIM software and Engineering; Making up the adaptable index system by statistical analysis; Finally set up the fuzzy neural network evaluation model. Effectively to provide decision support information by this model for choosing suitable for BIM software.

Urban Rail Transit Network Evaluation Based on TOPSIS

2013 ◽  
Vol 361-363 ◽  
pp. 1891-1894 ◽  
Author(s):  
Turnisa Niyaz ◽  
Osman Ruzi ◽  
Faan Chen
Keyword(s):  
Evaluation Method ◽  
Evaluation Model ◽  
Network Planning ◽  
Urban Rail Transit ◽  
Quality Level ◽  
Rail Transit ◽  
Transit Network ◽  
Urban Rail ◽  
Network Evaluation ◽  
Urban Rail Transit Network

In order to improve the objectivity of urban rail transit network evaluation and achieve the sub-file of quality level of preliminary planning, a comprehensive evaluation method for urban rail transit network was proposed based on TOPSIS, then the evaluation model of urban rail transit network was constructed. This method was applied to Xian urban rail transit network planning. The result shows that case-4 is best one among the four urban rail transit network planning of Xian and consistent with the passenger flow prediction. The evaluation model for urban rail transit network based on TOPSIS is objective, which involves few parameters, simple operation, science evaluation and provides a basis of decision for urban rail transit network planning.

A neural network evaluation model for individual thermal comfort

2007 ◽  
Vol 39 (10) ◽  
pp. 1115-1122 ◽  
Author(s):  
Weiwei Liu ◽  
Zhiwei Lian ◽  
Bo Zhao
Keyword(s):  
Neural Network ◽  
Thermal Comfort ◽  
Evaluation Model ◽  
Network Evaluation

A neural network evaluation model for ERP performance from SCM perspective to enhance enterprise competitive advantage

2008 ◽  
Vol 35 (4) ◽  
pp. 1809-1816 ◽  
Author(s):  
I-Chiu Chang ◽  
Hsin-Ginn Hwang ◽  
Hsueh-Chih Liaw ◽  
Ming-Chien Hung ◽  
Sing-Liang Chen ◽  
...  
Keyword(s):  
Neural Network ◽  
Competitive Advantage ◽  
Evaluation Model ◽  
Network Evaluation
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