scholarly journals Energy Sustainability Evaluation Model Based on the Matter-Element Extension Method: A Case Study of Shandong Province, China

2017 ◽  
Vol 9 (11) ◽  
pp. 2128 ◽  
Author(s):  
Siqi Li ◽  
Rongrong Li
Keyword(s):  
Evaluation Model ◽  
Shandong Province ◽  
Energy Sustainability ◽  
Sustainability Evaluation ◽  
Extension Method ◽  
Model Based

An Evaluation Model Based on Rough Sets

2014 ◽  
Vol 602-605 ◽  
pp. 3379-3383
Author(s):  
Yong Sheng Liu ◽  
Zan Zhang
Keyword(s):  
Decision Making ◽  
Information System ◽  
Knowledge Discovery ◽  
Rough Sets ◽  
Choquet Integral ◽  
Evaluation Model ◽  
Fuzzy Measure ◽  
Model Based

In multiattribute decision making, it is critical to indentify the importance degree of attributes before the overall assessment of the alternatives. In this paper, we give a measurement of importance degree of attributes based on knowledge discovery in the decision information system, which satisfies the conditions of fuzzy measure. Further, we construct an evaluation model combined Choquet integral with the importance degree measure. The case study illustrates the validity and the effectiveness of the method.

scholarly journals Research on the Sustainability of the Standard Gauge Railway Construction Project in Tanzania

2021 ◽  
Vol 13 (9) ◽  
pp. 5271
Author(s):  
Jianmin Wang ◽  
Victor Sifamen Sekei ◽  
Sherif Abdul Ganiyu ◽  
Jesse Jackson Makwetta
Keyword(s):  
Structural Equation ◽  
Evaluation Model ◽  
Construction Project ◽  
Equation Model ◽  
Sustainability Evaluation ◽  
Local Agencies ◽  
Railway Maintenance ◽  
Railway Construction Project

This exploratory study aimed to examine the validity of the sustainability evaluation model suggested and the sustainability of the standard gauge railway (SGR) construction project in Africa’s developing countries with Tanzania as a case study. By using the proposed railway sustainability evaluation model, the researchers collected data from 300 people, which included workers in the project and people living or conducting businesses along the route of the first phase of the project (Dar-es-salaam to Morogoro). Data was collected using semi-structured questionnaires and analyzed using the structural equation model (SEM) technique and correlation analysis. The findings validated the model used to be efficient in railway sustainability evaluation, and also, the researchers were able to realize from the data collected that the first phase of the SGR in Tanzania is sustainable for development. The study suggests encouraging and collaborating with local agencies to improve local railway maintenance and operations skills in order to ensure the project’s long-term viability and extension.

scholarly journals Evaluation and Prediction of Regional Water Resources Carrying Capacity: A Case Study of Shandong Province

2017 ◽  
Vol 7 (1) ◽  
pp. 21 ◽  
Author(s):  
Hongyan Liao ◽  
Yuabiao Zhang ◽  
Zhifeng Chen ◽  
Zexin Meng
Keyword(s):  
Water Resources ◽  
Carrying Capacity ◽  
Arid Regions ◽  
Evaluation Model ◽  
Supply And Demand ◽  
Arima Model ◽  
Shandong Province ◽  
Water Resources Carrying Capacity ◽  
Regional Water

Growing pressure on the world’s water resources is having major impacts on us. In this paper, we discuss on water resources carrying capacity. We have a case study of Shandong Province which is one of the most arid regions in China. Considering the dynamics of water supply and demand, we combine the Falkenmark indicator and the binary dynamics model to establish an evaluation model of regional water resources carrying capacity. According to the result of our model, Shandong Province is heavily exploited. The per capita water resources in Shandong province were less than 300 m3 in the past ten years. The increasing destruction and increasing waste make the situation even worse. Then ARIMA model and BP neural network is combined to propose a prediction model. We use it to predict the supply and demand of water resources in Shandong Province in the next 15 years

Development of an Evaluation Model for the Level of Rail Transit Service

2013 ◽  
Vol 734-737 ◽  
pp. 1574-1577
Author(s):  
Yan Yong Guo ◽  
Yao Wu ◽  
Lu Bai ◽  
Rong Fan
Keyword(s):  
Evaluation System ◽  
Evaluation Model ◽  
Service Level ◽  
Rail Transit ◽  
Ahp Method ◽  
Transit Service ◽  
Model Based ◽  
Analysis Theory ◽  
Degree Of Membership

This study developed an evaluation model for the level of rail transit service based on the matter-analysis theory. Firstly, an evaluation system of rail transit service level which contains 14 indicators was proposed. Secondly, the evaluation model based on the matter-analysis theory was constructed and the key process was proposed. Whats more, the weights of indicators were calculated using AHP method. Thirdly, by calculating the degree of membership and interrelation value of evaluation indicators with regard to evaluation levels, the RT-LOS and its trend are judged. Finally, a case study of Xi'an Metro Line 2 was conducted to verify the model.

Evaluation of Knowledge Absorptive Capability of Enterprise Based on Entropy Weights and Interval TOPSIS

2014 ◽  
Vol 998-999 ◽  
pp. 1661-1665
Author(s):  
Guo Zheng Zhang ◽  
Song Zheng Zhao ◽  
Ju Ran Ru Wang
Keyword(s):  
Absorptive Capacity ◽  
Evaluation Model ◽  
Essential Element ◽  
Field Research ◽  
Practical Case ◽  
Theoretical Domain ◽  
Model Based ◽  
Transformation Capacity ◽  
Assimilation Capacity

The processes for absorbing knowledge become an essential element for innovation and competitiveness in enterprises. Despite the huge growth in the absorptive capacity literature, a method gap still remains about a certain ambiguity in the measurement of the construct specifying its theoretical domain. The aim of this paper is to contribute to the research on absorptive capacity through the construction of four aspects, based on a thorough analysis of the literature and field research, to measure the key components of the absorptive capacity construct: acquisition capacity, assimilation capacity, transformation capacity and application capacity. The evaluation model based on entropy weights and interval TOPSIS is established which focuses on measuring absorptive capacity. The practical case study is conducted to illustrate the application of the proposed method for the knowledge absorptive capacity and verify effectiveness and feasibility.

scholarly journals Sustainable Development Evaluation of Innovation and Entrepreneurship Education of Clean Energy Major in Colleges and Universities Based on SPA-VFS and GRNN Optimized by Chaos Bat Algorithm

2021 ◽  
Vol 13 (11) ◽  
pp. 5960
Author(s):  
Yi Liang ◽  
Haichao Wang ◽  
Wei-Chiang Hong
Keyword(s):  
Sustainable Development ◽  
Evaluation Model ◽  
Entrepreneurship Education ◽  
Bat Algorithm ◽  
Clean Energy ◽  
Colleges And Universities ◽  
Evaluation Index ◽  
Sustainability Evaluation ◽  
Model Based ◽  
Innovation And Entrepreneurship

The research on the sustainability evaluation of innovation and entrepreneurship education for clean energy majors in colleges and universities can not only cultivate more and better innovative and entrepreneurial talents for the development of sustainable energy but also provide a reference for the sustainable development of innovation and entrepreneurship education for other majors. To achieve systematic and comprehensive scientific evaluation, this paper proposes an evaluation model based on SPA-VFS and Chaos bat algorithm to optimize GRNN. Firstly, the sustainability evaluation index system of innovation and entrepreneurship education for clean energy major in colleges and universities is constructed from the four aspects of the environment, investment, process, and results, and the meaning of each evaluation index is explained; Then, combined with variable fuzzy set evaluation theory (VFS) and set pair analysis theory (SPA), the classical evaluation model based on SPA-VFS is constructed, and the entropy weight method and rank method are coupled to obtain the index weight. The basic bat algorithm is improved by using Tent chaotic mapping, and the chaotic bat algorithm (CBA) is proposed. The generalized regression neural network (GRNN) model is optimized by CBA, and the intelligent evaluation model based on CBA-GRNN is obtained to realize fast real-time calculation; finally, a numerical example is used to verify the scientificity and accuracy of the model proposed in this paper. This study is conducive to a comprehensive evaluation of the sustainability of innovation and entrepreneurship education for clean energy major in colleges and universities, and is conducive to the healthy and sustainable development of innovation and entrepreneurship education for clean energy major in colleges and universities, so as to provide more innovative and entrepreneurial talents for the clean energy industry.

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