(1. 東北大學(xué) 資源與土木工程學(xué)院， 沈陽 110006；
2. 沈陽大學(xué)， 沈陽 110044；
3. 國家經(jīng)濟(jì)貿(mào)易委員會 安全科學(xué)技術(shù)研究中心， 北京 100029)
摘 要: 針對礦山系統(tǒng)安全的隨機(jī)性及模糊性， 將模糊熵引入系統(tǒng)安全性評價(jià)模型的建模之中，提出了基于模糊熵和權(quán)廣義距離之和最小的模糊模式識別模型， 實(shí)現(xiàn)了系統(tǒng)安全等級隸屬度向量的離散化， 給出了模糊熵和權(quán)廣義距離之間平衡參數(shù)的兩種確定方法。 實(shí)例表明，該模型優(yōu)于基于權(quán)廣義距離平方和最小的原則所建立的模糊模式識別模型； 平衡參數(shù)的兩種確定方法對評價(jià)結(jié)果具有良好的一致性。 模糊熵可作為安全等級隸屬度向量離散程度的評價(jià)指標(biāo)。
關(guān)鍵字: 模糊熵； 安全評價(jià)； 隸屬度
（1. College of Resource and Civil Engineering, Northeastern University, Shenyang 110006, P.R.China;
2. Shenyang University, Shenyang 110044, P.R.China;
3. Center for Accident Investigation and Analysis, State Economic and Trade Commission, Beijing 100029, P.R.China）
Abstract: In view of randomness and fuzziness of mine safety system, leading fuzzy entropy into establishing models of assessment models of systemrisk,a new type of fuzzy pattern recognized model was put forward based on entropy and least generalized distance square sum of weight, which can realize subordinated vector dispersed of system safety grades. Two methods of defined balanced parameters were given between entropy and broad sense distance sum of weight. Examples showed that these methods have advantages over fuzzy pattern recognized models based on principle of least generalized distance square sum of weight. Two methods of defined balance parameters have good unison for assessment result. Fuzzy entropy can be assessment standard of dispersed extent of subordinated vector of safety grades.
Key words: fuzzy entropy； safety assessment； subordinate degree
