# Research on Grading Evaluation of Coal and Gas Dynamic Disasters Based on Fuzzy Mathematics
## 5 Conclusions  
A fuzzy relationship matrix was established to map the factor set to the decision set, integrating the characteristic indicators of mining-induced stress disturbances and gas dynamic emissions. Based on this, a grading evaluation method for CGDDs using fuzzy mathematics was proposed and successfully validated.  
The microseismic event marking and localization for the 1010201-working face in the No. 1 Well of the Yuwang Coal Mine revealed that mine-induced seismic activity was concentrated near the open-off cut and the goaf, demonstrating a strong correlation between seismic source distribution and mining disturbance zones. Analysis of the longitudinal wave (P wave) velocity and wave velocity anomaly coefficient indicated varying degrees of stress concentration within the working face: weak to medium (\(5\leq v_{p}<6\) or \(0.05\leq A_{n}<0.25\)) and strong (\(v_{p}\geq 6\) or \(A_{n}\geq 0.25\)). A higher microseismic wave velocity and a larger wave velocity anomaly coefficient correspond to a greater degree of stress concentration in the working face.  
The dynamic monitoring of gas emissions, the drill cuttings gas desorption indicator (\(K_{1}\) value), and drill cuttings volume (\(S\) value) in the 1010201-track roadway and 1010201-belt roadway verified that the characteristic indicators \(A\), \(B\), and \(D\) are effective for CGDD evaluation. Based on this, the critical value ranges for these indicators were determined.  
When using a single indicator for the grading evaluation of CGDDs in the 1010201-working face, conflicting evaluation results were observed. However, the evaluation results using the Fuzzy mathematical method and field investigation method were consistent. As mining advanced through the pre-mining stress concentration zone, notable changes were detected in the seismic source wave velocity and wave velocity anomaly coefficient, alongside significant fluctuations in gas emission levels. The periodic weighting characteristics of the working face, the variations in gas emissions, the drill cuttings gas desorption indicator, and the stress field inversion results were all effectively validated.  
Conceptualization and methodology, G.W.; validation, H.D.; resources, J.W.; data curation, Y.C.; writing--original draft preparation, H.D.; writing--review and editing, H.D. and Q.L.; supervision, G.W.; funding acquisition, Q.L. All authors have read and agreed to the published version of the manuscript.  
This research was funded by the Science and Technology Major Project of Guizhou Province (Grant No. [2024]029), the Key Science and Technology Project of Ministry of Emergency Management of the People's Republic of China, (Grant No.2024 EMST070703), the National Natural Science Foundation of China (Grant number 52274150), the Natural Science Foundation of Chongqing, China (Grant number CSTB2022 NSCQ-JQX0014) and the Science and Technology Innovation and Venture Capital Special Projects of TIANDI Science & Technology Co., Ltd. (Grant number 2022-2-TD-ZD009).  
Not applicable.  
The raw data supporting the conclusions of this article will be made available by the authors on request.  
**Conflicts of Interest**: Authors [PERSON], [PERSON], and [PERSON] were employed by the company Chongqing Research Institute Co., Ltd. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The authors declare that this study received funding from TIANDI Science & Technology Co., Ltd. The funder was not involved in the study design, in the collection, analysis, and interpretation of data, nor in the writing of this article and the decision to submit it for publication.