scholarly journals Fuzzy Evaluation Model of Bank APP Performance Based on Circular Economy Thinking

Mathematics ◽  
2021 ◽  
Vol 9 (21) ◽  
pp. 2761
Author(s):  
Tian Chen ◽  
Chun-Ming Yang ◽  
Kuen-Suan Chen ◽  
Ting-Hsin Hsu
Keyword(s):  
Performance Index ◽  
Traffic Congestion ◽  
Evaluation Model ◽  
Time Interval ◽  
Fuzzy Evaluation ◽  
Carbon Reduction ◽  
Testing Accuracy ◽  
Intelligent Management ◽  
Short Time ◽  
Fuzzy Evaluation Model

As the environment of the Internet of Things (IoT) gradually becomes common and mature, various smart application (APP) platforms have sprung up, making what we are doing more convenient, more economical and more efficient. Then, this paper used a bank APP as the research background to discuss issues related to smart APPs. Obviously, through the bank APPs, customers can complete their transfer and payment for various expenses at home, eliminating the inconvenience of going out, which not only can alleviate traffic congestion as well as reduce carbon emissions but also can save the manpower expenditure costs for banks. Consequently, improving APP performance and increasing the number of users of an APP is a very important issue. Therefore, this paper proposed an APP performance index to evaluate the performance of a bank APP. This APP performance index is to evaluate the performance of the APP through the time interval of customers’ access to the APP. The shorter the time interval is, the greater the number of users within a unit time is. In addition, based on cost considerations and effectiveness, the sample size n is usually not too large in practice, in order to make decisions quickly and accurately in a short time. Since the fuzzy testing model based on the confidence interval can be integrated with the past accumulated experience of data experts, the testing accuracy can be leveled up under the condition of small-sized samples. Accordingly, a fuzzy evaluation model was proposed to evaluate whether the performance of the bank APP can reach the required level, and this model was also regarded as a basis for decision-making to determine whether to improve the bank APP. At the same time, we can grasp the opportunities for improvement, achieve the effect of cost reduction, energy saving and carbon reduction, and further move towards the goal of innovative and intelligent management.

scholarly journals Fuzzy Evaluation Model of Process Improvement Capability with Costs Consideration

2021 ◽  
Vol 11 (10) ◽  
pp. 4344
Author(s):  
Kuen-Suan Chen ◽  
Shui-Chuan Chen ◽  
Ting-Hsin Hsu ◽  
Min-Yi Lin ◽  
Chih-Feng Wu
Keyword(s):  
Process Improvement ◽  
Quality Evaluation ◽  
Evaluation Model ◽  
Fuzzy Evaluation ◽  
Sampling Errors ◽  
Capability Index ◽  
Testing Method ◽  
Improvement Potential ◽  
Testing Accuracy

The Taguchi capability index, which reflects the expected loss and the yield of a process, is a useful index for evaluating the quality of a process. Several scholars have proposed a process improvement capability index based on the expected value of the Taguchi loss function as well as the corresponding cost of process improvement. There have been a number of studies using the Taguchi capability index to develop suppliers’ process quality evaluation models, whereas models for evaluating suppliers’ process improvement potential have been relatively lacking. Thus, this study applies the process improvement capability index to develop an evaluation model of the supplier’s process improvement capability, which can be provided to the industry for application. Besides, owing to the current need to respond quickly, coupled with cost considerations and the limits of technical capabilities, the sample size for sampling testing is usually not large. Consequently, the evaluation model of the process improvement capability developed in this study adopts a fuzzy testing method based on the confidence interval. This method reduces the risk of misjudgment due to sampling errors and improves the testing accuracy because it can incorporate experts and their accumulated experiences.

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.

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.

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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