Title :
Efficiency evaluation of firefighting & rescue command based on fuzzy centralization statistical theory
Author_Institution :
Dept. of Fire Command, Chinese People´´s Armed Police Force Acad., Langfang, China
Abstract :
On the basis of establishing the evaluation index system, the paper proposes fuzzy centralization statistical theory to evaluate the efficiency of firefighting & rescue command. Applying fuzzy centralization statistical theory, the random and fuzzy indexes in the efficiency evaluation index system are mathematically analyzed, and the total weights of all the indexes are calculated. The result of efficiency evaluation can be obtained through the linear adding weight model. The method changes some fixed values from classical statistics to bound values and solves the problem of fuzzy indexes quantification, which makes the indexes´ weights more precisely accord with the practice. Exemplified case indicates that the method could overcome the disadvantage of traditional statistical method and make efficiency evaluation of fire fighting & rescue command more practicable and scientific.
Keywords :
accident prevention; fires; fuzzy set theory; statistical analysis; firefighting; fuzzy centralization statistical theory; fuzzy indexes quantification; linear adding weight model; Command and control systems; Equations; Fires; Indexes; Mathematical model; Presses; efficiency evaluation; firefighting & rescue command; fuzzy centralization statistics; index system;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5931-5
DOI :
10.1109/FSKD.2010.5569590