Title :
A Fast Method of Ranking Interval Numbers Based on Probability Reliability
Author :
Chuan He ; Dishan Qiu ; Li Peng ; Hao Guo
Author_Institution :
Key Lab. of Inf. Syst. Eng., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
Ranking interval number is a difficult problem, both theoretically and practically. This paper presents a formulation depiction work for the ranking problem of interval numbers, and defines the strict partial order relations according to practical requirements. in addition, probability reliability of partial order among any two interval numbers are proposed, and also gives a proof to some conclusions playing an important role in ranking process. Further, a new ranking method employing probability reliability is addressed in detail, in order to effectively utilize the feature information of each interval number. Finally, the feasibility and effectiveness of the proposed ranking method is verified by the analysis of an example.
Keywords :
decision making; probability; reliability; feature information; interval number ranking; multiple attribute decision making; probability reliability; strict partial order relations; Decision making; Indexes; Probability density function; Probability distribution; Reliability theory; Vectors; Feature information; Interval number; Probability reliability; Ranking;
Conference_Titel :
Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-2646-9
DOI :
10.1109/ISCID.2012.195