Possibilistic information measures and selection approach
Abstract
The aim of this paper is to introduce a use of both the principle of minimal specificity (mS) and maximal buoyancy (MB) for selecting a distribution from a given set of quantitative possibility distributions. In this paper some conditions of a set of possibility distributions and weights which guarantee "always selected situation" of a possibility distribution selected by the use of these principles from the given distribution set are proposed.Downloads
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How to Cite
Thanh, D. V. (2012). Possibilistic information measures and selection approach. Computing and Informatics, 18(6), 595–610. Retrieved from http://147.213.75.17/ojs/index.php/cai/article/view/583
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