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Interval probability theory for evidential support

✍ Scribed by W. Cui; D. I. Blockley

Publisher: John Wiley and Sons
Year: 1990
Tongue: English
Weight: 394 KB
Volume: 5
Category: Article
ISSN: 0884-8173
DOI: 10.1002/int.4550050204

No coin nor oath required. For personal study only.

✦ Synopsis

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.

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