DocumentCode :
1877884
Title :
Algorithm for Weighted Hasse Diagram and Its Application
Author :
Mao Shuhua
Author_Institution :
Coll. of Sci., Wuhan Univ. of Technol., Wuhan, China
fYear :
2010
fDate :
10-12 Dec. 2010
Firstpage :
1
Lastpage :
4
Abstract :
Hasse diagram is a very popular method for multi-criteria evaluation and decision making, but now we just use no-weighted Hasse diagram for each attribute. This paper concerns how to get the weighted Hasse diagram. Firstly, assessment cumulated matrix based on the weights of each attribute is proposed, then the weighted Hasse diagram can be drawn, and Bubley Dyer algorithm, which is a Monte Carlo Markov chain procedure, can be used to calculate the rank of the element in the matrix.
Keywords :
Markov processes; Monte Carlo methods; decision making; diagrams; graph theory; operations research; set theory; Bubley Dyer algorithm; Monte Carlo Markov chain procedure; assessment cumulated matrix; decision making; multicriteria evaluation; order ranking; weighted Hasse diagram; Biological system modeling; Chemicals; Computational modeling; Correlation; Estimation; Markov processes; Monte Carlo methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Software Engineering (CiSE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5391-7
Electronic_ISBN :
978-1-4244-5392-4
Type :
conf
DOI :
10.1109/CISE.2010.5677073
Filename :
5677073
Link To Document :
بازگشت