A Fuzzy and comprehensive evaluation model for developing teaching evaluation

Zhang, Zhaoyu; Huang, Yanqiu; Gao, Enting

doi:10.1109/cecnet.2012.6201685

Cited by 4 publications

(1 citation statement)

References 2 publications

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“…Applications of the fuzzy Delphi method can be observed (among others), for example in: choosing a player [23], fashion styles [24], evaluation of hydrogen production [25], lubricant regenerative technology selection [6], teaching methods [26], or in the creation of teaching applications [27].…”

Section: Delphi Methods and Related Workmentioning

confidence: 99%

Delphi Method Supported by Forecasting Software

Lawnik

Banasik

2020

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The Delphi method is one of the basic tools for forecasting values in various types of issues. It uses the knowledge of experts, which is properly aggregated (e.g., in the form of descriptive statistics measures) and returns to the previous group of experts again, thus starting the next round of forecasting. The multi-stage prediction under the Delphi method allows for better stabilization of the results, which is extremely important in the process of forecasting. Experts in the forecasting process often have access to time series forecasting software but do not necessarily use it. Therefore, it seems advisable to add to the aggregate the value obtained using forecasting software. The advantage of this approach is in saving the time and costs of obtaining a forecast. That should be understood as a smaller burden on data analysts and the value of their work. According to the above mentioned key factors, the main contribution of the article is the use of a virtual expert in the form of a computer-enhanced mathematical tool, i.e., a programming library for a forecasting time series. The chosen software tool is the Prophet library—a Facebook tool that can be used in Python or R programming languages.

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Section: Delphi Methods and Related Workmentioning

confidence: 99%

Delphi Method Supported by Forecasting Software

Lawnik

Banasik

2020

Information

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Fuzzy Delphi Method with Z-Numbers

Lawnik

Krakowczyk

Banasik

2019

Communications in Computer and Information Science

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Research on Automatic Irrigation Algorithm of Strawberry Greenhouse Based on PLC

Wang

Jianshu

et al. 2014

Computer and Computing Technologies in Agriculture VII

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In order to realize efficient water-saving irrigation of strawberry greenhouse in precision agriculture, the paper proposed an automatic irrigation algorithm based on fuzzy comprehensive evaluation irrigation based on PLC and the configuration software, and build a remote control system. By measuring the greenhouse soil parameters and strawberry soil moisture data to determine the upper and lower limits of irrigation and set buried position of moisture sensors. Use fuzzy comprehensive evaluation method to handle multi-sensor data, and develop an automatic irrigation control algorithm that depends on the strawberry irrigation system. Set up a C / S mode of automatic irrigation control system through the 3G network and the remote computer. The experimental results show that the algorithm is reasonable and reliable, and can be well adapted to the strawberry greenhouse. The automatic irrigations meet the steady demands for real-time performance and high scalability. The irrigation automation of strawberry greenhouse provides a theoretical and practical basis for intelligent irrigation of strawberry greenhouse.

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A Fuzzy and comprehensive evaluation model for developing teaching evaluation

Cited by 4 publications

References 2 publications

Delphi Method Supported by Forecasting Software

Delphi Method Supported by Forecasting Software

Fuzzy Delphi Method with Z-Numbers

Research on Automatic Irrigation Algorithm of Strawberry Greenhouse Based on PLC

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