Dispersed methods of subordinated vector of safety grades based on fuzzy entropy
Kai Xü · The Chinese Journal of Nonferrous Metals · 2000
In view of randomness and fuzziness of mine safety system, leading fuzzy entropy into establishing models of assessment models of system risk, 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.