DocumentCode
2967341
Title
Comprehensive Evaluation for Industry Economic Power of Mining Cities Based on Nonlinear Mathematical Model
Author
Gao Ya-cui
Author_Institution
Manage. Sch., Xi´an Univ. of Sci. & Technol., Xi´an, China
fYear
2011
fDate
12-14 Aug. 2011
Firstpage
1
Lastpage
4
Abstract
Taking a Chinese north mining city as an example, through to systematic investigation and statistics for its economic data of 12 industry in recent 4 years, A complete set of index system for estimating economy status has been put forward, which comprises the profitability, debt paying ability and development foreground of difference industry. The author has developed a set of fuzzy neural network software system based on the nonlinear mathematical model. These software systems manage initial data through Access\´s data-base technology, and calculate subordination degree of assessment indices by fuzzy mathematics, as well as achieve industry economy status by virtue of artificial neural network which has been successfully trained. Result demonstration: The synthetic economy condition for the thermoelectricity production supply industry and the non-ferrous metal processing industry is "best" in 2006,the cement manufacturing industry and the coal selection industry is "better", but the transport vehicle manufacturing industry, the textile industry and the diet tobacco manufacturing industry\´s is relatively "bad". This appraisal achievement may provide reliable auxiliary decision-making for the bank credit.
Keywords
fuzzy neural nets; industrial economics; mining industry; profitability; Chinese north mining city; cement manufacturing industry; coal selection industry; comprehensive evaluation; database technology; debt paying ability; diet tobacco manufacturing industry; economy status estimation; fuzzy neural network software system; industry economic power; nonferrous metal processing industry; nonlinear mathematical model; profitability; reliable auxiliary decision making; textile industry; thermoelectricity production supply industry; transport vehicle manufacturing industry; Artificial neural networks; Economics; Indexes; Industries; Manufacturing; Production; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Management and Service Science (MASS), 2011 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-6579-8
Type
conf
DOI
10.1109/ICMSS.2011.5998400
Filename
5998400
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