Affiliations: [1] Faculty of Management in Zajecar, John Naisbitt University, Belgrade, Serbia | [2] Research Institute of Smart Building Technologies, Civil Engineering Faculty, Vilnius Gediminas Technical University, Vilnius, Lithuania | [3] Department of Mathematics, University of New Mexico, 705 Gurley Avenue, Gallup, NM 87301, USA | [4] Faculty of Applied Economics, University of Antwerp, Antwerp, Belgium | [5] Faculty of Applied Management, Economics and Finance, Business Academy University, Jevrejska 24, Belgrade, Serbia, e-mail: [email protected], [email protected], [email protected], [email protected], [email protected]
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Corresponding author.
Abstract: The aim of this manuscript is to propose a new extension of the MULTIMOORA method adapted for usage with a neutrosophic set. By using single valued neutrosophic sets, the MULTIMOORA method can be more efficient for solving complex problems whose solving requires assessment and prediction, i.e. those problems associated with inaccurate and unreliable data. The suitability of the proposed approach is presented through an example.
Keywords: neutrosophic set, single valued neutrosophic set, MULTIMOORA, MCDM
Journal: Informatica, vol. 28, no. 1, pp. 181-192, 2017
