DocumentCode :
3393678
Title :
Necessity measures and fuzzy rough sets defined by certainty qualifications
Author :
Inuiguchi, Masahiro ; Tanino, Tetsuzo
Author_Institution :
Dept. of Electron. & Inf. Syst., Osaka Univ., Japan
Volume :
4
fYear :
2001
fDate :
25-28 July 2001
Firstpage :
1940
Abstract :
In this paper, we show how necessity measures are specified by two modifier functions. Giving a novel class of necessity measures designed by the specification method, we demonstrate a necessity measure in this class is suitable to apply fuzzy rough sets defined by certainty qualifications
Keywords :
fuzzy set theory; possibility theory; rough set theory; uncertainty handling; certainty qualifications; decision making; fuzzy inference; fuzzy rough sets; level cut conditioning; modifier functions; necessity measure; necessity measure specification; possibility measure; possibility theory; robustness; uncertainty; Decision making; Fuzzy sets; Hydrogen; Information systems; Possibility theory; Qualifications; Robustness; Rough sets; Samarium; Sufficient conditions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-7078-3
Type :
conf
DOI :
10.1109/NAFIPS.2001.944364
Filename :
944364
Link To Document :
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