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Corresponding mathematical programming problem is constructed. On the output of the first stage we receive the expert knowledge precision stream of the criteria with respect to any decision. In the second stage the constructed stream is an input trajectory for the finite possibilistic model of EFDS. A genetic algorithm approach is developed for identifying of the EFDS finite model. The modelling process gives us the more precise decisions as a prediction of a temporalization procedure. The constructed technology is applied in the non-probabilistic utility theory for the information technology management problem.<\/jats:p>","DOI":"10.1142\/s0219622016500371","type":"journal-article","created":{"date-parts":[[2016,8,10]],"date-time":"2016-08-10T09:04:53Z","timestamp":1470819893000},"page":"1469-1502","source":"Crossref","is-referenced-by-count":3,"title":["More Precise Decision-Making Methodology in the Temporalized Body of Evidence. 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