Research on the International Competitiveness in China’s Textile and Clothing Industries Based on Rough Set

2011 ◽  
Vol 332-334 ◽  
pp. 603-608
Author(s):  
Hong Zhao ◽  
Jia Liu
Keyword(s):  
Technological Innovation ◽  
Rough Set ◽  
Evaluation System ◽  
International Competitiveness ◽  
Case Analysis ◽  
Factors Affecting ◽  
Diamond Model

According to the “diamond model”, the paper establishes an evaluation system and case analysis for the international competitiveness of China’s textile and clothing industries based on rough set. It indicates that China’s textile and clothing industries still have strong international competitiveness. However, core factors affecting international competitiveness such as technological innovation with disadvantage competitively made it decreased gradually.

scholarly journals A study on the optimization strategies for the service trade structure of Guangdong-Hong Kong-Macao Greater Bay Area

2021 ◽  
Vol 292 ◽  
pp. 01019
Author(s):  
Wenyong Li ◽  
Xueyu Zhang ◽  
Bing’e Tang
Keyword(s):  
Hong Kong ◽  
Technological Innovation ◽  
Regional Economics ◽  
Case Analysis ◽  
Service Trade ◽  
Industrial Transformation ◽  
Factors Affecting ◽  
Trade Structure ◽  
Bay Area ◽  
Fresh Impetus

The construction of urban agglomerations and integration of regional economics have become the new trends in Chinese economic development. The economy of Guangdong-Hong Kong-Macao Greater Bay Area plays a significant role in driving regional development and stimulating technological innovation. In this paper, through study on the current situation of trade in service in Guangdong-Hong Kong-Macao Greater Bay Area, the reasons for the improper trade structure are concluded. Through data and case analysis, the factors affecting service trade structure are located. The results of case analysis can offer some useful and viable recommendations for the optimization of service trade structure, which can facilitate the industrial transformation and upgrading in Guangdong-Hong Kong-Macao Greater Bay Area as well as give a fresh impetus to economic growth.

scholarly journals Scale Characteristics and Optimization of Park Green Space in Megacities Based on the Fractal Measurement Model: A Case Study of Beijing, Shanghai, Guangzhou, and Shenzhen

2021 ◽  
Vol 13 (15) ◽  
pp. 8554
Author(s):  
Zhen Li ◽  
Wanmin Zhao ◽  
Miaoyao Nie
Keyword(s):  
Fractal Dimension ◽  
Evaluation System ◽  
Goodness Of Fit ◽  
Green Space ◽  
Fractal Theory ◽  
Measurement Model ◽  
Scale Structure ◽  
Qualitative Description ◽  
Urban Spatial Structure ◽  
Factors Affecting

This paper applies fractal theory to research of green space in megacity parks due to the lack of a sufficient qualitative description of the scale structure of park green space, a quantifiable evaluation system, and operable planning methods in traditional studies. Taking Beijing, Shanghai, Guangzhou, and Shenzhen as examples, GIS spatial analysis technology and the Zipf model are used to calculate the fractal dimension (q), the goodness of fit (R2), and the degree of difference (C) to deeply interpret the connotation of indicators and conduct a comparative analysis between cities to reveal fractal characteristics and laws. The research results show that (1) the fractal dimension is related to the complexity of the park green space system; (2) the fractal dimension characterizes the hierarchical iteration of the park green space to a certain extent and reflects the internal order of the scale distribution; (3) the scale distribution of green space in megacity parks deviates from the ideal pyramid configuration; and (4) there are various factors affecting the scale structure of park green space, such as natural base conditions, urban spatial structure, and the continuation of historical genes working together. On this basis, a series of targeted optimization strategies are proposed.

Evaluation Indexes of Sand Liquefaction Analysed by Rough Set

2011 ◽  
Vol 243-249 ◽  
pp. 3087-3091
Author(s):  
Nian Ping Liu ◽  
Hong Tu Wang ◽  
Zhi Gang Yuan
Keyword(s):  
Rough Set ◽  
Groundwater Level ◽  
Analytical Method ◽  
Evaluation System ◽  
Evaluation Index ◽  
Determination Method ◽  
Sand Liquefaction ◽  
Evaluation Indexes ◽  
Result Show ◽  
The Evaluation System

Sand liquefaction is a problem of complex evolution of the disaster, there is no accurate way to judge at present, this study put forward an analytical method to improve and optimize the evaluation system of sand liquefaction based on rough set. The significance of indexes are confirmed by calculating rough dependability between indexes and result for appraisement, the result show that SPT blow count has the greatest impact on the evaluation system, the groundwater level has greater impact, followed by the sand depth, epicenteral distance and duration. The proposed approach overcame the subjectivity of traditional weight determination method, so it is more objective and accurate, and it is reasonable and effective to optimize the evaluation index of sand liquefaction.

scholarly journals An Automated Implementation of Academic Staff Performance Evaluation System based on Rough Sets Theory

2019 ◽  
Vol 23 ◽  
Author(s):  
Bolanle Ojokoh ◽  
Victor Akinsulire ◽  
Folasade O Isinkaye
Keyword(s):  
Performance Evaluation ◽  
Human Resource ◽  
Rough Set ◽  
Evaluation System ◽  
Rough Set Theory ◽  
Academic Staff ◽  
Evaluation Procedure ◽  
Rough Sets Theory ◽  
Imperfect Data ◽  
Automated Method

The essence of evaluating employees’ performance in any tertiary institution is to realize the goals of the institution by measuring the contribution of each employee. Effective human resource evaluation is paramount to the development of any organization. An automated method is needed to remove the limitations and facilitate the duties of human resource management. In this paper, rough set theory, a mathematical technique that deals with vagueness and uncertainty of imperfect data analysis is adopted for the evaluation of academic staff profile for promotion, grants and other academic purposes. The entire appraisal process of academic staff was translated into a web-based application where every user can fill, edit, update, and submit the annual performance evaluation report form. The indiscernible property of rough set approach is a unique factor in assessing every academic staff under the department and faculty/school by the head of department and dean respectively. With this, the system generates an information table handling all the necessary conditions for promoting academic staff and the corresponding decisions taken. A model for rating publications was proposed to reduce the sentiments involved in manual rating. Reports were generated as output of each evaluation procedure. One hundred (100) dataset of academic staff of the Federal University of Technology, Akure, Nigeria was used in the experiment to evaluate the performance of the system. The results of the system obtained score were compared with the institution standard and it was found that the system scores were above standard, the average precision of the system shows 60% effectiveness which showed that the proposed system is efficient for academic performance evaluation process.

scholarly journals Multi-Criteria Evaluation of Best Available Treatment Technology for Waste Lead-Acid Battery: The Case of China

2020 ◽  
Vol 12 (11) ◽  
pp. 4479 ◽  
Author(s):  
Wei Wang ◽  
Yi He ◽  
Deyuan Zhang ◽  
Yufeng Wu ◽  
Dean Pan
Keyword(s):  
Pollution Control ◽  
Evaluation System ◽  
Lead Acid Battery ◽  
Treatment Technology ◽  
Safety Hazards ◽  
Factors Affecting ◽  
Multi Criteria Evaluation ◽  
Potential Safety ◽  
Attribute Hierarchy ◽  
Lead Acid

Improper waste lead-acid battery (LAB) disposal not only damages the environment, but also leads to potential safety hazards. Given that waste best available treatment technology (BATT) plays a major role in environmental protection, pertinent research has largely focused on evaluating typical recycling technologies and recommending the BATT for waste LABs. First the evaluation indicators were selected based on the analysis of main factors affecting the pollution control of waste LAB treatment. The relative weights of each indicator were determined via the Delphi-attribute hierarchy model (AHM) in the second step. To determine the BATT, the attributive mathematics theory was adopted to calculate the attribute measure of single and multiple indices. Then, five recycling technologies commonly used in the secondary lead industry were estimated using the proposed evaluation system, and the feasibility of the recommended BATT was preliminarily verified. The results indicated that mixed smelting technology (MST), pre-desulfurization and multi-chamber smelting technology (PD-MCST), and direct smelting technology (DST) were found to perform well and were therefore deemed optimal for waste LAB disposal at this stage. The validation study showed that the DST can meet the requirements of pollution control, which is consistent with the evaluation results.

scholarly journals Study on Development Sustainability of Atmospheric Environment in Northeast China by Rough Set and Entropy Weight Method

2019 ◽  
Vol 11 (14) ◽  
pp. 3793 ◽  
Author(s):  
Yuangang Li ◽  
Maohua Sun ◽  
Guanghui Yuan ◽  
Qi Zhou ◽  
Jinyue Liu
Keyword(s):  
Rough Set ◽  
Northeast China ◽  
Evaluation System ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Atmospheric Environment ◽  
Entropy Weight ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Environment Sustainability

In order to evaluate the atmospheric environment sustainability in the provinces of Northeast China, this paper has constructed a comprehensive evaluation model based on the rough set and entropy weight methods. This paper first constructs a Pressure-State-Response (PSR) model with a pressure layer, state layer and response layer, as well as an atmospheric environment evaluation system consisting of 17 indicators. Then, this paper obtains the weight of different indicators by using the rough set method and conducts equal-width discrete analysis and clustering analysis by using SPSS software. This paper has found that different discrete methods will end up with different reduction sets and multiple indicators sharing the same weight. Therefore, this paper has further introduced the entropy weight method based on the weight solution determined by rough sets and solved the attribute reduction sets of different layers by using the Rosetta software. Finally, this paper has further proved the rationality of this evaluation model for atmospheric environment sustainability by comparing the results with those of the entropy weight method alone and those of the rough set method alone. The results show that the sustainability level of the atmospheric environment in Northeast China provinces has first improved, and then worsened, with the atmospheric environment sustainability level reaching the highest level of 0.9275 in 2014, while dropping to the lowest level of 0.6027 in 2017. Therefore, future efforts should focus on reducing the pressure layer and expanding the response layer. Based on analysis of the above evaluation results, this paper has further offered recommendations and solutions for the improvement of atmospheric environment sustainability in the three provinces of Northeast China.

An Empirical Study on the Financial Competitiveness Evaluation System of Stock Exchange Listed SMEs of Gujarat, India

2019 ◽  
Vol 46 (4) ◽  
pp. 256-263
Author(s):  
Nikita Mehta ◽  
Mamta Brahmbhatt
Keyword(s):  
Evaluation System ◽  
Stock Exchange ◽  
Small And Medium Enterprises ◽  
Principal Component ◽  
Factors Affecting ◽  
Financial Factors ◽  
Management Efficiency ◽  
Major Factors ◽  
Medium Enterprises ◽  
Financial Competitiveness

The purpose of this study is to identify the financial factors that enhance the financial competitiveness of small and medium enterprises (SMEs) in Gujarat, India. The principal component analysis has been applied to extract the financial factors from financial performance ratios of a sample size of 38 stock exchange SMEs, based in Gujarat, India. The ranking has been given to the SMEs based upon their factor score and comprehensive score. The results show that profitability, management efficiency, liquidity and leverage factors are the major factors affecting the financial competitiveness of SMEs. The study covers only one state of the country, and the findings from different states may differ and need to get verified. Despite the highest contribution of SMEs in the GDP of India, there exist very few Indian studies on SME competitiveness. This study contributes to filling this gap.

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