On the variety of imprecise probabilities

被引:1
作者
Klir, GJ [1 ]
机构
[1] SUNY Binghamton, Ctr Intelligent Syst, Binghamton, NY USA
关键词
cybernetics; probability; uncertainty; theory;
D O I
10.1108/03684920110405566
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Presents an overview of currently recognized theories of imprecise probabilities and their possible extensions. It is shown how the theories are ordered by their levels of generality. A summary of current results regarding measures of uncertainty and uncertainty-based information is also presented.
引用
收藏
页码:1072 / 1079
页数:8
相关论文
共 25 条
[1]   A non-specificity measure for convex sets of probability distributions [J].
Abellan, J ;
Moral, S .
INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS, 2000, 8 (03) :357-367
[2]  
[Anonymous], 1988, POSSIBILITY THEORY A
[3]  
Choquet G., 1954, ANN I FOURIER GRENOB, V5, P131, DOI [10.5802/aif.53, DOI 10.5802/AIF.53]
[4]   Possibility theory .1. The measure- and integral-theoretic groundwork [J].
DeCooman, G .
INTERNATIONAL JOURNAL OF GENERAL SYSTEMS, 1997, 25 (04) :291-323
[5]  
Halmos Paul R., 1950, Measure Theory, DOI DOI 10.1007/978-1-4684-9440-2
[6]   Transmission of information [J].
Hartley, RVL .
BELL SYSTEM TECHNICAL JOURNAL, 1928, 7 (03) :535-563
[7]  
Klir G, 1995, Fuzzy Sets and Fuzzy Logic: Theory and Applications, V4
[8]  
Klir G.J, 1999, UNCERTAINTY BASED IN
[9]   Generalized information theory: Recent developments [J].
Klir, GJ ;
Harmanec, D .
KYBERNETES, 1996, 25 (7-8) :50-+
[10]   PRINCIPLES OF UNCERTAINTY - WHAT ARE THEY - WHY DO WE NEED THEM [J].
KLIR, GJ .
FUZZY SETS AND SYSTEMS, 1995, 74 (01) :15-31