DocumentCode :
2220991
Title :
Ranking Methods of Intuitionistic Fuzzy Numbers in Multicriteria Decision Making
Author :
Shen, Lingling ; Wang, Hai ; Feng, Xiangqian
Author_Institution :
Dept. of Manage. Sci. & Eng., Nanjing Normal Univ., Nanjing, China
Volume :
2
fYear :
2010
fDate :
26-28 Nov. 2010
Firstpage :
143
Lastpage :
146
Abstract :
Intuitionistic fuzzy theory is an excellent tool to represent uncertainty and vagueness in fuzzy multi criteria decision making problems. When intuitionistic fuzzy numbers are used to express fuzzy information, they need to compare with each other to indicate the relative importance or priority. This paper reviews an existed method of ranking two intuitionistic fuzzy numbers, and further defines another ranking method based on probabilities. Then we present two step-by-step processes to rank intuitionistic fuzzy numbers based on probabilities and both hesitations and probabilities, respectively. Each process is illustrated by a numerical example and its own available range or condition is discussed as well.
Keywords :
decision making; decision theory; fuzzy set theory; probability; uncertainty handling; hesitation; intuitionistic fuzzy theory; multicriteria decision making; probability; ranking method; uncertainty representation; hesitation; intuitionistic fuzzy set; multi criteria decision making; probability; ranking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Management, Innovation Management and Industrial Engineering (ICIII), 2010 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-8829-2
Type :
conf
DOI :
10.1109/ICIII.2010.198
Filename :
5694537
Link To Document :
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