loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06) Volume 1
A Novel Method of Ranking Fuzzy Numbers for Decision-making Problems
Jinan, China
October 16-October 18
ISBN: 0-7695-2528-8
ASCII Text
x 
 
Zhigang Lian, Bin Jiao, Xingsheng Gu, "A Novel Method of Ranking Fuzzy Numbers for Decision-making Problems," Intelligent Systems Design and Applications, International Conference on, vol. 1, pp. 354-360, Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06) Volume 1, 2006.
 
 
BibTex
x
 
@article{ 10.1109/ISDA.2006.71,
author = {Zhigang Lian and Bin Jiao and Xingsheng Gu},
title = {A Novel Method of Ranking Fuzzy Numbers for Decision-making Problems},
journal ={Intelligent Systems Design and Applications, International Conference on},
volume = {1},
year = {2006},
isbn = {0-7695-2528-8},
pages = {354-360},
doi = {http://doi.ieeecomputersociety.org/10.1109/ISDA.2006.71},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Intelligent Systems Design and Applications, International Conference on
TI - A Novel Method of Ranking Fuzzy Numbers for Decision-making Problems
SN - 0-7695-2528-8
SP354
EP360
A1 - Zhigang Lian,
A1 - Bin Jiao,
A1 - Xingsheng Gu,
PY - 2006
KW - null
VL - 1
JA - Intelligent Systems Design and Applications, International Conference on
ER -
 
Zhigang Lian, East China University of Science and Technology, China
Bin Jiao, East China University of Science and Technology, China; Shanghai DianJi University, China
Xingsheng Gu, East China University of Science and Technology, China
Ranking fuzzy numbers is important for decisionmaking problems in a fuzzy environment since the measurements are imprecise in nature. In this paper one new method of ranking fuzzy numbers was proposed by using the angle of triangular and trapezoidal fuzzy number besides a -cuts of fuzzy number. Ranking-maker's preference is considered and membership functions of fuzzy numbers don?t need to be known before ranking. The results of some preliminary numerical experiments show the discrimination is valid. This new way is simple and efficient for the calculation and comparison.
Citation:
Zhigang Lian, Bin Jiao, Xingsheng Gu, "A Novel Method of Ranking Fuzzy Numbers for Decision-making Problems," isda, vol. 1, pp.354-360, Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06) Volume 1, 2006
Usage of this product signifies your acceptance of the Terms of Use.