scholarly journals Effect of Curriculum Planning for Physical Education in Colleges on Innovation Ability

2020 ◽  
Vol 15 (12) ◽  
pp. 103
Author(s):  
Huiqiu Guo
Keyword(s):  
Physical Education ◽  
Fuzzy Theory ◽  
Evaluation Model ◽  
Curriculum Planning ◽  
Practical Significance ◽  
Fuzzy Evaluation ◽  
Promoting Effect ◽  
Innovation Ability ◽  
Fuzzy Evaluation Model ◽  
Current Curriculum

With poor integrity and unclear goals, the curriculum planning for physical education (PE) in colleges cannot effectively promote the innovation ability of students. To solve the problem, this paper attempts to clearly evaluate the effect of curriculum planning for college PE on the innovation ability of PE majors. Based on the defects of the current curriculum planning, the authors put forward several strategies and suggestions to enhance the promoting effect of college PE curriculum planning on innovation ability. Following the fuzzy theory, an index system and a fuzzy evaluation model were put forward to quantify the effect of college PE curriculum planning on innovation ability. The research results have great theoretical and practical significance.

scholarly journals A Multi-Attribute Fuzzy Evaluation Model for the Teaching Quality of Physical Education in Colleges and Its Implementation Strategies

2021 ◽  
Vol 16 (02) ◽  
pp. 159
Author(s):  
Yao Wang ◽  
Chunyan Sun ◽  
Ying Guo
Keyword(s):  
Physical Education ◽  
Evaluation System ◽  
Evaluation Model ◽  
Implementation Strategies ◽  
Teaching Quality ◽  
Fuzzy Evaluation ◽  
Proposed Model ◽  
Grey Relational ◽  
Fuzzy Evaluation Model

There are two major problems with teaching quality evaluation of physical education (PE) in colleges: the excessive number of evaluation factors, and the incomplete evaluation system. To solve the problems, this paper puts forward a multi-attribute fuzzy evaluation model of college PE teaching quality, and provides the strategies to implement the model. Firstly, the problems of college PE teaching were analyzed, and a novel multi-dimensional evaluation system was developed for college PE teaching quality. To quantify college PE teaching quality, an evaluation model of college PE teaching quality was established based on the Grey Relational Analysis (GRA). In addition, several strategies were presented to improve college PE teaching quality. The proposed model and strategies provide a good reference for solving similar complex system problems.

scholarly journals Fuzzy Evaluation of Physical Education Teaching Quality in Colleges Based on Analytic Hierarchy Process

2021 ◽  
Vol 16 (06) ◽  
pp. 217
Author(s):  
Xiaokun Zhao ◽  
Chao Zheng
Keyword(s):  
Physical Education ◽  
Analytic Hierarchy Process ◽  
Evaluation Model ◽  
Teaching Quality ◽  
Evaluation Index System ◽  
Fuzzy Evaluation ◽  
Analytic Hierarchy ◽  
Hierarchy Process ◽  
Fuzzy Evaluation Model

For physical education (PE) in colleges, the evaluation of the teaching quality is affected by various fuzzy and uncertain factors. Therefore, this paper probes deep into the fuzzy evaluation of the teaching quality of college PE, using analytic hierarchy process (AHP), fuzzy system theory and grey theory. Firstly, the factors affecting the teaching quality of college PE were analyzed theoretically, and the keys to improving that teaching quality were clarified. On this basis, the authors established an evaluation index system and a fuzzy evaluation model for the teaching quality of college PE. The proposed fuzzy evaluation model serves an innovative tool to evaluate the teaching quality of college PE. Apart from effective measurement of the teaching quality, the proposed model provides an important reference for improving the teaching quality of college PE.

Research on Evaluation of Economics of Product Quality Based on Fuzzy Theory

2010 ◽  
Vol 121-122 ◽  
pp. 314-319
Author(s):  
Xiao Jun Wen
Keyword(s):  
Product Quality ◽  
Comprehensive Evaluation ◽  
Fuzzy Theory ◽  
Evaluation Model ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Fuzzy Evaluation ◽  
Research On Evaluation ◽  
Economical Development ◽  
Fuzzy Evaluation Model

As the consumptive concept increasingly matured, the product quality and the economics of quality has been an important aspect in the economical development. The paper laid emphasis on the research of comprehensive evaluation of economics of quality. It established the evaluation index system that can effectively indicate the conditions of economics of quality, measured the economics of quality comprehensively and quantitatively. A fuzzy evaluation model which can quantitatively evaluate the economics of quality was also built up. The feasibility and effectiveness of the model was also proved by a material example.

scholarly journals Multi-Attribute Fuzzy Evaluation of the Teaching Quality of Dancesport Major

2020 ◽  
Vol 15 (22) ◽  
pp. 177
Author(s):  
Bin Liu
Keyword(s):  
Fuzzy Theory ◽  
Evaluation Model ◽  
Teaching Quality ◽  
Indicator System ◽  
Grey System Theory ◽  
Uncertain Information ◽  
Fuzzy Evaluation ◽  
Grey System ◽  
Fuzzy Evaluation Model

The teaching quality of dancesport is affected by multiple factors. Facing uncertain information, there is not yet a perfect indicator system to evaluate the teaching quality of dancesport. This paper attempts to develop a multi-attribute fuzzy evaluation model for dancesport teaching quality. Firstly, the connotations of dancesport teaching quality were identified through theoretical analysis. Next, the evaluation indicator system for dancesport teaching quality was improved based on the connotations. After that, a multi-attribute fuzzy evaluation model was established, drawing on fuzzy theory and grey system theory. Finally, several suggestions were presented to improve the teaching quality of dancesport. The research results provide an effective way to accurately measure dancesport teaching quality.

scholarly journals Developing a Novel Fuzzy Evaluation Model by One-Sided Specification Capability Indices

Mathematics ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 1076
Author(s):  
Wei Lo ◽  
Chun-Ming Yang ◽  
Kuei-Kuei Lai ◽  
Shao-Yu Li ◽  
Chi-Han Chen
Keyword(s):  
Evaluation Model ◽  
Critical Value ◽  
Process Quality ◽  
Quality Characteristic ◽  
Fuzzy Membership Function ◽  
Environmental Damage ◽  
Quality Level ◽  
Fuzzy Evaluation ◽  
Radar Chart ◽  
Fuzzy Evaluation Model

When all of the one-sided specification indices of each quality characteristic reach the requirements of the process quality level, they can ensure that the process capability of the product meets the requirements of the process quality level. This study constructs a fuzzy membership function based on the upper confidence limit of the index, derives the fuzzy critical value, and then labels the fuzzy critical value on the axis of the visualized radar chart as well as connects adjacent critical points to shape a regular polygonal critical region. Next, this study calculates the observed value of the index to estimate and mark it on the axis for forming a visualized fuzzy radar evaluation chart. Obviously, this fuzzy evaluation model not only reduces the testing cost but also makes the quality level quickly meet the requirements of the specifications. Further, the radar chart can reduce the risk of misjudgment attributable to sampling errors and help improve the accuracy of evaluation by a confidence-upper-limit-based fuzzy evaluation model. Therefore, this easy-to-use visualized fuzzy radar evaluation chart is used as an evaluation interface, which has good and convenient management performance to identify and improve critical-to-quality quickly. Improving the quality of the process before the product is completed will also have the advantage of reducing social losses and environmental damage costs.

Fuzzy Evaluation of Water Quality in Water Distribution System Based on Entropy Weight and EPANET

2012 ◽  
Vol 518-523 ◽  
pp. 3703-3706
Author(s):  
Ling Ping Zhao ◽  
Fen Ge Zhang ◽  
Liang Fei Dong ◽  
Yong Wei ◽  
Bao Hua Tu ◽  
...  
Keyword(s):  
Water Quality ◽  
Distribution System ◽  
Water Distribution ◽  
Water Distribution System ◽  
Evaluation Model ◽  
Fuzzy Evaluation ◽  
Entropy Weight ◽  
Simulation Data ◽  
Fuzzy Evaluation Model

According to the fuzziness of water quality in water distribution system, based on the simulation data of water quality obtained by using EPANET software,and applying entropy weight theory in the fuzzy evaluation of water quality, fuzzy evaluation model of water quality based on entropy weight and EPANET is established. Water quality in water distribution system of Hengshanqiao town is evaluated by using this method.Evaluation results are relatively objective and credible, proving that the method is simple and practical, scientific and reliable.

scholarly journals Confidence Interval Based Fuzzy Evaluation Model for an Integrated-Circuit Packaging Molding Process

2019 ◽  
Vol 9 (13) ◽  
pp. 2623 ◽  
Author(s):  
Chun-Ming Yang ◽  
Kuo-Ping Lin ◽  
Kuen-Suan Chen
Keyword(s):  
Confidence Interval ◽  
Integrated Circuit ◽  
Evaluation Model ◽  
Measurement Data ◽  
Electronics Industry ◽  
Green Economy ◽  
Fuzzy Evaluation ◽  
Molding Process ◽  
Ic Packaging ◽  
Fuzzy Evaluation Model

The electronics industry in Taiwan has achieved a complete information and communication technology chain with a firm position in the global electronics industry. The integrated-circuit (IC) packaging industry chain adopts a professional division of labor model, and each process (including wafer dicing, die bonding, wire bonding, molding, and other subsequent processes) must have enhanced process capabilities to ensure the quality of the final product. Increasing quality can also lower the chances of waste and rework, lengthen product lifespan, and reduce maintenance, which means fewer resources invested, less pollution and damage to the environment, and smaller social losses. This contributes to the creation of a green process. This paper developed a complete quality evaluation model for the IC packaging molding process from the perspective of a green economy. The Six Sigma quality index (SSQI), which can fully reflect process yield and quality levels, is selected as a primary evaluation tool in this study. Since this index contains unknown parameters, a confidence interval based fuzzy evaluation model is proposed to increase estimation accuracy and overcome the issue of uncertainties in measurement data. Finally, a numerical example is given to illustrate the applicability and effectiveness of the proposed method.

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