Decoupling Analysis of Electromagnetic Loop Network Based on Optimal Comprehensive weighting Evaluation model

Chen, Daojun; Guo, Hang; Cui, Ting; Liu, Yongyan; Sun, Jieyi

doi:10.1109/ei250167.2020.9347039

Cited by 2 publications

(4 citation statements)

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“…When the order is 1 and 2, the judgment matrix is always completely consistent. When the order is greater than 2, if C R < 0.1, the consistency of the judgment matrix is considered acceptable; otherwise, it is necessary to adjust the judgment matrix to cause it to have satisfactory consistency [46]. Fuzzy comprehensive evaluation models are proposed by different synthetic operations between the weight vector A and the single-factor evaluation matrix R. Table 4 shows four basic methods of common fuzzy relation synthesis operations.…”

Section: (4) Checking the Consistencymentioning

confidence: 99%

Comprehensive Evaluation of NIMBY Phenomenon with Fuzzy Analytic Hierarchy Process and Radar Chart

Wu,

Wang,

Bai

et al. 2024

Applied Sciences

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The risk level of the NIMBY (Not In My Back Yard) phenomenon is crucial for the safety and economy of transmission and transformation projects which is rarely studied, especially for site selection and the construction of transmission lines and substations. In order to effectively evaluate the risk level to solve the dilemma caused by the NIMBY phenomenon, an evaluation method for quantifying the level of the NIMBY phenomenon is proposed. In this paper, thirty-one evaluation criteria and a risk model are put forward according to relevant laws and regulations that should be followed in the transmission and transformation project in China, then the scores corresponding to these criteria are obtained by a questionnaire survey. The radar chart method and minimum area method are applied to determine the weights of the element and unit layers. Furthermore, the overall risk level is evaluated by the fuzzy comprehensive evaluation method. In addition, a transmission and transformation project in Xi’an City, China, is used as an example to verify the correction of the risk model and its evaluation method. The results show that the weaknesses in the transmission and transformation project are analyzed, and suggestions for decreasing the risk level are put forward to minimize losses due to the NIMBY phenomenon.

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Section: (4) Checking the Consistencymentioning

confidence: 99%

Comprehensive Evaluation of NIMBY Phenomenon with Fuzzy Analytic Hierarchy Process and Radar Chart

Wu,

Wang,

Bai

et al. 2024

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…In this research, the sum-product method was chosen to calculate the weight and characteristic vector of the matrix. The calculation process included the following four steps [47]:…”

Section: Establishment Of Analytic Hierarchy Process and Weight Calcu...mentioning

confidence: 99%

Section: Establishment Of Analytic Hierarchy Process and Weight Calcu...mentioning

confidence: 99%

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Construction and Application of Fuzzy Comprehensive Evaluation Model for Rockburst Based on Microseismic Monitoring

Li,

Chen,

et al. 2023

Applied Sciences

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Based on the relationship between rockburst and microseismic event indicators, this study proposes that the risk of rockburst in mine working faces, roadways, and even the entire mine should be studied through the “double high” risk evaluation of microseismic events. The 43 evaluation indexes of rockburst were optimized into eight indexes by using the expert scoring method. Considering the eight indexes as the basic events and the “double high” risk of microseismic events as the top event, the “double high” accident tree of microseismic events was established. According to the qualitative analysis results of the accident tree, the microseismic activity evaluation index was determined, and the “double high” risk evaluation index system was constructed for microseismic events. The system included three first-level indicators and eight second-level indicators. The fuzzy hierarchical comprehensive evaluation model was used to evaluate the “double high” risk of microseismic events in the Yanbei Coal Mine. In this paper, a microseismic monitoring and evaluation index model is constructed to simplify the existing evaluation system, which is convenient to effectively establish the connection between microseismic monitoring data and rockburst index and provide important theoretical support for underground monitoring and rockburst prevention.

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Decoupling Analysis of Electromagnetic Loop Network Based on Optimal Comprehensive weighting Evaluation model

Cited by 2 publications

References 0 publications

Comprehensive Evaluation of NIMBY Phenomenon with Fuzzy Analytic Hierarchy Process and Radar Chart

Comprehensive Evaluation of NIMBY Phenomenon with Fuzzy Analytic Hierarchy Process and Radar Chart

Construction and Application of Fuzzy Comprehensive Evaluation Model for Rockburst Based on Microseismic Monitoring

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