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Computational procedures of the evidence theory for interval and fuzzy assignments of the basic probability masses for focal elements
Author(s) -
Олег Ужга-Ребров,
Ekaterina Karaseva,
Vasily Karasev
Publication year - 2019
Publication title -
information technology and management science
Language(s) - English
Resource type - Journals
eISSN - 2255-9094
pISSN - 2255-9086
DOI - 10.7250/itms-2019-0007
Subject(s) - element (criminal law) , mathematics , interval (graph theory) , fuzzy logic , fuzzy set , probability theory , calculus (dental) , mathematical economics , statistics , computer science , artificial intelligence , combinatorics , law , medicine , dentistry , political science
The evidence theory is ascribed to a specific kind of uncertainty. In this theory, uncertainty refers to the fact that the element of our interest (the true world) may be included in subsets of other similar elements (possible worlds). In the original evidence theory, the estimates of the basic probability masses for the focal elements are given in an unambiguous form. In practice, to obtain such estimates is often difficult or even impossible. In such a situation, the relevant estimates are given in the interval or fuzzy form. The goal of the paper is to present and analyse the calculation procedures for determination of the belief functions and plausibility functions in the evidence theory for cases when the initial estimates are given in the interval or fuzzy form.

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