DocumentCode :
3404897
Title :
Hybrid multi-attribute decision model of grey target
Author :
Wang, Zhengxin ; Dang, Yaoguo ; Bo, Liu ; Zhengwei, Lian
Author_Institution :
Coll. of Econ. & Manage., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
fYear :
2009
fDate :
10-12 Nov. 2009
Firstpage :
1055
Lastpage :
1060
Abstract :
To handle the uncertain multiple attribute decision problem that the decision index value is hard to define accurately, this paper studies on the hybrid multi-attribute decision model of grey target when the index values are real number, interval number and triangular fuzzy number which exist together. According to the basic connotations of grey target decision and uncertain decision information, this paper defines the hybrid ellipsoid grey target based on which it also constructs the hybrid decision model of grey target, and discusses the weights assignment problems under the circumstances where there is completely no weight information on index or there is only partial weight information. The result shows that the model established in this paper can better resolve the multi-attribute decision problem with hybrid information and finally this paper proves the practicality and effectiveness of this model through a case study.
Keywords :
decision theory; fuzzy set theory; grey systems; number theory; decision index value; hybrid ellipsoid grey target; hybrid uncertain multi-attribute decision model; interval number; partial weight information; real number; triangular fuzzy number; uncertain decision information; weights assignment problems; Cities and towns; Educational programs; Ellipsoids; Environmental economics; Extraterrestrial measurements; Fuzzy systems; Hybrid intelligent systems; Space technology; Technological innovation; Weight measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Grey Systems and Intelligent Services, 2009. GSIS 2009. IEEE International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4914-9
Electronic_ISBN :
978-1-4244-4916-3
Type :
conf
DOI :
10.1109/GSIS.2009.5408012
Filename :
5408012
Link To Document :
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