fuzzy number;
no normal fuzzy set;
expected interval;
fuzzy preference relation;
fuzzy ranking;
D O I:
10.1142/S0218488596000226
中图分类号:
TP18 [人工智能理论];
学科分类号:
081104 ;
0812 ;
0835 ;
1405 ;
摘要:
This paper presents a method for ranking fuzzy numbers based on the comparison of expected intervals of these numbers. This relation is fuzzy and it verifies the distinguishability, rationality and robustness qualities. The term expected interval is extended to no normal fuzzy numbers, and this method then it allows to compare these type sets.
机构:CNR, Inst for Research on System, Dynamics & Bioengineering,, Padua, Italy, CNR, Inst for Research on System Dynamics & Bioengineering, Padua, Italy
BORTOLAN, G
DEGANI, R
论文数: 0引用数: 0
h-index: 0
机构:CNR, Inst for Research on System, Dynamics & Bioengineering,, Padua, Italy, CNR, Inst for Research on System Dynamics & Bioengineering, Padua, Italy
机构:CNR, Inst for Research on System, Dynamics & Bioengineering,, Padua, Italy, CNR, Inst for Research on System Dynamics & Bioengineering, Padua, Italy
BORTOLAN, G
DEGANI, R
论文数: 0引用数: 0
h-index: 0
机构:CNR, Inst for Research on System, Dynamics & Bioengineering,, Padua, Italy, CNR, Inst for Research on System Dynamics & Bioengineering, Padua, Italy