{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:28:52Z","timestamp":1777703332256,"version":"3.51.4"},"reference-count":11,"publisher":"SAGE Publications","issue":"6","license":[{"start":{"date-parts":[[2016,12,5]],"date-time":"2016-12-05T00:00:00Z","timestamp":1480896000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2016,12,5]]},"abstract":"<jats:p>In order to obtain the relationship between the mine roof water inrush grade and its influencing factors, the Fuzzy Matter-Element model of mine roof water inrush is established by combining fuzzy theory and matter element theory. And the weight of 5 basic factors for mine roof water inrush was calculated by AHP (Analytic hierarchy process). The results show that the ratio of height of water flowing from fractured zone to aquifer thickness, geological structure and water rich property in overlying strata are three main influence factors of mine roof water inrush grade, which take 87.3% of total weights. When other factors are unchanged, the same value that single factor changes, the weight of the major influence factors of roof water inrush grade influence larger. And when the single factor increases with other factors and mine water inrush grade are unchanged, in the process of single factor value increasing, the correlation of this factor and mine roof water inrush grade increase to a maxima and then decreases. This shows that when a single factor value reach to the same level with other factors, water inrush grade would increase with the increase of this factor value.<\/jats:p>","DOI":"10.3233\/jifs-169202","type":"journal-article","created":{"date-parts":[[2016,12,6]],"date-time":"2016-12-06T11:14:00Z","timestamp":1481022840000},"page":"3163-3170","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":12,"title":["The correlation analysis of mine roof water inrush grade and influence factors based on Fuzzy Matter-Element"],"prefix":"10.1177","volume":"31","author":[{"given":"Wenquan","family":"Zhang","sequence":"first","affiliation":[{"name":"College of Mining and Safety Engineering, Shandong University of Science and Technology, Qingdao, China"},{"name":"State Key Laboratory of Mining Disaster Prevention and Control, Qingdao, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bo","family":"Li","sequence":"additional","affiliation":[{"name":"College of Mining and Safety Engineering, Shandong University of Science and Technology, Qingdao, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hailing","family":"Yu","sequence":"additional","affiliation":[{"name":"College of Mining and Safety Engineering, Shandong University of Science and Technology, Qingdao, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2016,12,5]]},"reference":[{"issue":"1","key":"e_1_3_1_2_2","first-page":"25","article-title":"New progress of study on major water inrush disaster prevention and control technology in coal mine","volume":"41","author":"Jin D.W.","year":"2013","unstructured":"JinD.W., LiuY.F., LiuZ.B., et al., New progress of study on major water inrush disaster prevention and control technology in coal mine, Coal Science and 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