DocumentCode :
3175140
Title :
Twi-convergence model for weight of coal industry security evaluation index based on triangular adjustable fuzzy number
Author :
Li, Dongmei ; Wang, Zuling ; Liu, Hongyan
Author_Institution :
Dept. of Manage., North China Inst. of Sci. & Technol., Yanjiao, China
fYear :
2011
fDate :
8-10 Aug. 2011
Firstpage :
3579
Lastpage :
3582
Abstract :
In the course of evaluation of coal industry security, determination of the index weight is the key problem to decide whether the evaluation result is scientific. Triangle-adjustable fuzzy number is adopted in this paper, which enhances the objectivity of evaluation. The multi-experts decision is made convergence twice by means of the clustering analysis theory. The first convergence eliminates abnormal value, which reduces the electivity and subjectivity of the experts´ suggestions as much as possible. The second convergence adopts the similarity coefficient as weight to make comprehensive weight of the selected experts´ suggestions, which will consequently obtain the more reasonable comprehensive weight, and that effectively avoid AHP´s problem of consistency checking.
Keywords :
coal; convergence; decision making; fuzzy set theory; mining industry; security; statistical analysis; AHP; clustering analysis theory; coal industry; multiexperts decision; security evaluation index; triangular adjustable fuzzy number; twi convergence model; Coal industry; Convergence; Indexes; Investments; Matrix converters; Security; coal industry security; index weight; twi-convergence;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location :
Deng Leng
Print_ISBN :
978-1-4577-0535-9
Type :
conf
DOI :
10.1109/AIMSEC.2011.6010657
Filename :
6010657
Link To Document :
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