DocumentCode :
2913171
Title :
Research on gray decision-making approach for the evaluation of the energy efficiency
Author :
Yu Wei ; Zhu Jian-jun ; Wu Yang-yun
fYear :
2007
fDate :
18-20 Nov. 2007
Firstpage :
774
Lastpage :
778
Abstract :
There are many factors affecting Unit GDP energy consumption, including industrial structure, living habits, energy consuming structure, physical energy efficiency, energy prices and so on. Aggregation approach for interval gray utility value and gray preference order in the group decision-making is studied. This paper first introduced interval gray utility value and interval gray preference order. The weight model for interval gray utility value is proposed. In order to solve the problem of misleading decision-making, the weight distribution model is given according to the error factor. Interval gray preference order is indicated in the form of interval gray utility value and aggregation for uncertain preference order is studied by the use of weight distribution model for interval gray utility value. Then the derived interval gray weights are ranked. The relation degree between the expert preference and the synthesis is introduced to measure the group consistency degree.
Keywords :
decision making; economic indicators; grey systems; statistical distributions; utility theory; energy efficiency; error factor; group consistency degree; group decision making; interval grey preference order; interval grey utility value; unit GDP energy consumption; weight distribution model; Aggregates; Decision making; Distributed decision making; Economic indicators; Energy consumption; Energy efficiency; Environmental economics; Intelligent structures; Intelligent systems; Power generation economics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Grey Systems and Intelligent Services, 2007. GSIS 2007. IEEE International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-1294-5
Electronic_ISBN :
978-1-4244-1294-5
Type :
conf
DOI :
10.1109/GSIS.2007.4443379
Filename :
4443379
Link To Document :
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