Title :
A Forewarning Study of China´s Coal Energy Safety Based on Entropy Weight Markov Chain
Author :
Xiong Guo-qiang ; Xing Min ; Ji Ning
Author_Institution :
Sch. of Bus. Adm., Xi´an Univ. of Technol., Xi´an
Abstract :
Energy safety is an important and strategic problem, which relates to the economic development and national defense. Carrying on the research of energy safety forewarning is the basic of energy safety. Aiming at the uncertainty characteristic: fuzzy and random. This paper quoted entropy of the uncertainty system state into the Markov chain, and brings the entropy Markov chain model forward. At last, it evaluates the unborn coal energy safety state in our country by this model.
Keywords :
Markov processes; coal; fuzzy set theory; China coal energy safety; economic development; entropy weight Markov chain; forewarning study; fuzzy uncertainty characteristic; national defense; random uncertainty characteristic; Entropy; Frequency estimation; Manufacturing; Power generation economics; Probability distribution; Random processes; Safety; Stability; Supply and demand; Uncertainty;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1311-9
DOI :
10.1109/WICOM.2007.1227
