Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Dynamic prediction model of spontaneous combustion risk in goaf based on improved CRITIC-G2-TOPSIS method and its application
by
Yao, Youli
, Jia, Baoshan
, Wang, Wei
, Qi, Yun
in
Air leakage
/ Approximation
/ Back propagation
/ Biology and Life Sciences
/ Coal
/ Coal mines
/ Coal mining
/ Combustion
/ Combustion research
/ Criteria
/ Decision making
/ Dynamic models
/ Earth Sciences
/ Education
/ Engineering
/ Engineering and Technology
/ Euclidean geometry
/ Health risks
/ Laboratories
/ Management
/ Medicine and Health Sciences
/ Mines and mineral resources
/ Neural networks
/ Physical Sciences
/ Prediction models
/ Research and Analysis Methods
/ Risk analysis
/ Risk assessment
/ Risk factors
/ Social Sciences
/ Spontaneous combustion
/ Thermal properties
/ Waste management
/ Weighting methods
/ Work face
2021
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Dynamic prediction model of spontaneous combustion risk in goaf based on improved CRITIC-G2-TOPSIS method and its application
by
Yao, Youli
, Jia, Baoshan
, Wang, Wei
, Qi, Yun
in
Air leakage
/ Approximation
/ Back propagation
/ Biology and Life Sciences
/ Coal
/ Coal mines
/ Coal mining
/ Combustion
/ Combustion research
/ Criteria
/ Decision making
/ Dynamic models
/ Earth Sciences
/ Education
/ Engineering
/ Engineering and Technology
/ Euclidean geometry
/ Health risks
/ Laboratories
/ Management
/ Medicine and Health Sciences
/ Mines and mineral resources
/ Neural networks
/ Physical Sciences
/ Prediction models
/ Research and Analysis Methods
/ Risk analysis
/ Risk assessment
/ Risk factors
/ Social Sciences
/ Spontaneous combustion
/ Thermal properties
/ Waste management
/ Weighting methods
/ Work face
2021
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Dynamic prediction model of spontaneous combustion risk in goaf based on improved CRITIC-G2-TOPSIS method and its application
by
Yao, Youli
, Jia, Baoshan
, Wang, Wei
, Qi, Yun
in
Air leakage
/ Approximation
/ Back propagation
/ Biology and Life Sciences
/ Coal
/ Coal mines
/ Coal mining
/ Combustion
/ Combustion research
/ Criteria
/ Decision making
/ Dynamic models
/ Earth Sciences
/ Education
/ Engineering
/ Engineering and Technology
/ Euclidean geometry
/ Health risks
/ Laboratories
/ Management
/ Medicine and Health Sciences
/ Mines and mineral resources
/ Neural networks
/ Physical Sciences
/ Prediction models
/ Research and Analysis Methods
/ Risk analysis
/ Risk assessment
/ Risk factors
/ Social Sciences
/ Spontaneous combustion
/ Thermal properties
/ Waste management
/ Weighting methods
/ Work face
2021
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Dynamic prediction model of spontaneous combustion risk in goaf based on improved CRITIC-G2-TOPSIS method and its application
Journal Article
Dynamic prediction model of spontaneous combustion risk in goaf based on improved CRITIC-G2-TOPSIS method and its application
2021
Request Book From Autostore
and Choose the Collection Method
Overview
Due to the problems related to the numerous factors affecting the spontaneous combustion of goaf coal, such as sudden, uncertain, and dynamic changes, and the fact that the weight of the indexes in the prediction model of the spontaneous combustion risk is difficult to determine, an improved Criteria Importance Through Inter-criteria Correlation (CRITIC) modified Technique for Order of Preference by Similarity to Ideal Solution G2-(TOPSIS) dynamic prediction model of goaf spontaneous combustion was developed. An optimal decision-making model was established by introducing the Euclidean distance function, and the function-driven type G2 weighting method was modified using the differential-driven type weighting method of the CRITIC. In addition, the comprehensive weights of each index were obtained. An update factor was introduced to obtain the dynamic weight, and the primary-secondary relationship of the risk factors affecting the spontaneous combustion of goaf was evaluated. Based on the G2 weighting method, which approximates the driving function principle of the ideal solution ranking method (TOPSIS), a G2-TOPSIS goaf spontaneous combustion risk assessment model was established. The degree of closeness was analyzed and the risk grade of the goaf spontaneous combustion was finally predicted. The sub-model was applied to the goaf of working face 1303 in the Jinniu Coal Mine. It was concluded that the air leakage duration was the dominant factor inducing the risk of the spontaneous combustion of the goaf. The risk grade of spontaneous combustion of the goaf is Class III, and the predicted results are consistent with the actual situation. The improved CRITIC-G2-TOPSIS dynamic model was demonstrated to be scientific in predicting the goaf spontaneous combustion risk, and these research results have important popularization and application value.
Publisher
Public Library of Science,Public Library of Science (PLoS)
Subject
This website uses cookies to ensure you get the best experience on our website.