A mass assignment theory of the probability of fuzzy events

被引:81
作者
Baldwin, JF
Lawry, J
Martin, TP
机构
[1] A.I. Group, Dept. of Engineering Mathematics, University of Bristol
关键词
mass assignment; semantic unification; voting model; probability of a fuzzy event; possibility measure;
D O I
10.1016/0165-0114(95)00297-9
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Mass assignment theory techniques for processing uncertainty in Fril are reviewed. The notion of the probability of a fuzzy event is introduced together with the t-norm definition of conditional probabilities. The latter is then shown to be probability/possibility inconsistent. An alternative theory of conditional probabilities based on mass assignments is presented together with a number of results illustrating some intuitive properties. In particular, the mass assignment theory of conditional probabilities is shown to be probability/possibility consistent.
引用
收藏
页码:353 / 367
页数:15
相关论文
共 22 条
[1]  
ACZEL J, 1966, LECTURES FUNCTIONAL
[2]  
[Anonymous], 1992, NEURAL NETWORKS FUZZ
[3]  
[Anonymous], ENCY OF AI
[4]  
[Anonymous], 1988, FUZZY SETS SYSTEMS
[5]  
[Anonymous], 1990, APPL MATH LETT, V3, P37
[6]   A FUZZY RELATIONAL INFERENCE LANGUAGE [J].
BALDWIN, JF ;
ZHOU, SQ .
FUZZY SETS AND SYSTEMS, 1984, 14 (02) :155-174
[7]   EVIDENTIAL SUPPORT LOGIC PROGRAMMING [J].
BALDWIN, JF .
FUZZY SETS AND SYSTEMS, 1987, 24 (01) :1-26
[8]  
BALDWIN JF, 1995, FRIL FUZZY EVIDENTIA
[9]  
BALDWIN JF, 1991, P EXP SYST OPT PROC, P225
[10]  
BALDWIN JF, 1988, FRIL MANUAL VERSION