DocumentCode :
441685
Title :
Competitive analysis for the on-line fuzzy shortest path problem
Author :
Ma, Wei-min ; Chen, Guo-Qing
Author_Institution :
Sch. of Econ. & Manage., Beijing Univ. of Aeronaut. & Astronaut., China
Volume :
2
fYear :
2005
fDate :
18-21 Aug. 2005
Firstpage :
862
Abstract :
In this paper, based on the traditional shortest path problem in the domain of the operations research and the theory of the on-line algorithms, the on-line fuzzy shortest path problem (OFSP) is originally proposed by our team. In this realistic model, two kinds of uncertainties, namely on-line and fuzzy, are combined to be considered at the same time. Firstly, some preliminaries concerning the competitive analysis and shortest path problem and then the model of OFSP are established. Following that, some on-line fuzzy algorithms are designed to handle the problem of OFSP and the rigorous proofs for the competitive ratio are given. Finally, conclusions are made and some possible research directions are discussed.
Keywords :
competitive algorithms; fuzzy set theory; operations research; uncertainty handling; competitive analysis; online algorithms; online fuzzy shortest path problem; operations research; Aerodynamics; Algorithm design and analysis; Extraterrestrial measurements; Gain measurement; Operations research; Shortest path problem; Space technology; Statistics; Technology management; Uncertainty; Competitive analysis; competitive ratio; on-line fuzzy algorithm; shortest path;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
Type :
conf
DOI :
10.1109/ICMLC.2005.1527064
Filename :
1527064
Link To Document :
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