INTERVAL PROBABILITY-THEORY FOR EVIDENTIAL SUPPORT

被引：56

作者：

CUI, W

BLOCKLEY, DI

机构：

[1] Department of Civil Engineering, University of Bristol, Bristol, BS8 1TR, University Walk, Queens Building

来源：

INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS | 1990年 / 5卷 / 02期

关键词：

D O I：

10.1002/int.4550050204

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

An interval theory of probability is presented for use as a measure of evidential support in knowledge‐based systems. an interval number is used to capture, in a relatively simple manner, features of fuzziness and incompleteness. the vertex method is used for the interval analysis. A new parameter (also an interval number), p, called the degree of dependence is introduced. the relationship of this interval probability with the theories of Dempster‐Shafer, fuzzy sets, and Baldwin's support logic are discussed. the advantage of the theory is that it is based on a development of the axioms of probability, but allows that evidential support for a conjecture be separated from evidential support for the negation of the conjecture. Copyright © 1990 Wiley Periodicals, Inc., A Wiley Company

引用

页码：183 / 192

页数：10

共 9 条

[1]

BALDWIN JF, 1986, INT J INTELL SYST, V1, P73

[2]

BLOCKLEY DI, 1983, CIVIL ENG SYSTEMS, V1, P3

[3] UPPER AND LOWER PROBABILITY INFERENCES FOR FAMILIES OF HYPOTHESES WITH MONOTONE DENSITY RATIOS [J].