Possibilistic information measures and selection approach
Do Van Thanh
Computing and Informatics, Tome 28 (2012) no. 1, / Harvested from Computing and Informatics
Text on Computing and Informatics
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.
Publié le : 2012-01-26
Classification:  
@article{cai583,
     author = {Do Van Thanh},
     title = {Possibilistic information measures and selection approach},
     journal = {Computing and Informatics},
     volume = {28},
     number = {1},
     year = {2012},
     language = {en},
     url = {http://dml.mathdoc.fr/item/cai583}
}

Do Van Thanh. Possibilistic information measures and selection approach. Computing and Informatics, Tome 28 (2012) no. 1, . http://gdmltest.u-ga.fr/item/cai583/