Title :
With Model of Information Entropy and Unascertained Measure to Evaluate Waste Discharge
Author :
WangYang, Hu ; Gang, Xing ; Rongrong, Ren
Author_Institution :
Sch. Of Bus. Adm., Northeastern Univ., Shenyang, China
Abstract :
In this paper information Entropy theory was introduced to the research on waste discharge evaluating index of macro-level circulation economic system, which is independent from entropy solutions reduction of indicator system. On this basis, uncertainty measurement theory is applied to comprehensive evaluation of waste discharge, information entropy algorithm to determine the weight of evaluation is used and human factors is out of the possibility of interference in order to get more accurate identification results.
Keywords :
entropy; human factors; indicators; macroeconomics; uncertain systems; waste disposal; entropy theory; human factor; indicator system entropy solution reduction; information entropy algorithm; information entropy model; macro level circulation economic system; uncertainty measurement theory; waste discharge index evaluation; Cities and towns; Economic indicators; Environmental economics; Human factors; Industrial economics; Information entropy; Information processing; Interference; Measurement uncertainty; Sustainable development; circulation economy; information entropy; unascertained measure; waste discharge;
Conference_Titel :
Information Processing, 2009. APCIP 2009. Asia-Pacific Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-0-7695-3699-6
DOI :
10.1109/APCIP.2009.191
