Multicriteria Decision Making Model with Z-Numbers Based on FUCOM and MABAC model | Zendy

Darko Božanić | Zendy; Duško Tešić | Zendy; Aleksandar Milić | Zendy

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Multicriteria Decision Making Model with Z-Numbers Based on FUCOM and MABAC model

Author(s) -

Darko Božanić,

Duško Tešić,

Aleksandar Milić

Publication year - 2020

Publication title -

decision making applications in management and engineering

Language(s) - English

Resource type - Journals

eISSN - 2620-0104

pISSN - 2560-6018

DOI - 10.31181/dmame2003019d

Subject(s) - selection (genetic algorithm) , rank (graph theory) , computer science , set (abstract data type) , process (computing) , operations research , decision making models , decision model , model selection , mathematical optimization , data mining , mathematics , artificial intelligence , machine learning , combinatorics , programming language , operating system

In the paper is presented a model for selecting a location for a brigade command post during combat operations. Considering that this is a very complex model, which can be approached from several aspects, this paper is limited only to the criteria related to the construction or arrangement of the command post, respectively, the engineering aspect. The selection process is conducted using hybrid FUCOM – Z-number – MABAC model. The FUCOM method is used to define the weight coefficients of criteria based on which the selection is made. The MABAC method, modified by applying Z-number, is used to rank alternatives. The end results indicate that the application of Z-number in decision making includes broader set of uncertainties than standard fuzzy numbers, which is very important for deciding in combat situations.

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