DIBR–DOMBI–FUZZY MAIRCA Model for Strategy Selection in the System of Defense

Abstract

Strategic management has applications in many areas of social life. One of the basic steps in the process of strategic management is formulating a strategy by choosing the optimal strategy. Improving the process of selecting the optimal strategy with MCDM methods and theories that treat uncertainty well in this process, as well as the application of other and different selection criteria, is the basic idea and goal of this research. The improvement of the process of the aforementioned selection in the defense system was carried out by applying a hybrid model of multicriteria decision-making based on methods defining interrelationships between ranked criteria (DIBR) and multiattributive ideal-real comparative analysis (MAIRCA) modified by triangular fuzzy numbers–“DIBR–DOMBI–Fuzzy MAIRCA model.” The DIBR method was used to determine the weight coefficients of the criteria, while the selection of the optimal strategy, from the set of offered methods, was carried out by the MAIRCA method. This was done in a fuzzy environment with the aim of better treatment of imprecise information and better translation of quantitative data into qualitative data. In the research, an analysis of the model’s sensitivity to changes in weight coefficients was performed. Additionally, a comparison of the obtained results with the results obtained using other multicriteria decision-making methods was conducted, which validated the model and confirmed stable results. In the end, it was concluded that the proposed MCDM methodology can be used for choosing a strategy in the defense system, that the results of the MCDM model are stable and valid, and that the process has been improved by making the choice easier for decision makers and by defining new and more comprehensive criteria for selection.

A Multi-Criteria Decision-Making Model for Pontoon Bridge Selection: An Application of the DIBR II-NWBM-FF MAIRCA Approach

“…A sensitivity analysis concerning the introduced methodology was undertaken, focusing primarily on variations in the weight coefficients of the criteria, as delineated in studies [22,24,26,28]. Within this analytical framework, 14 distinct scenarios of weight change were articulated, as illustrated in Figure 2.…”

“…The rankings acquired using the FF MAIRCA method and those presented in Table 15 were subsequently analyzed through the computation of the Spearman's correlation coefficient, as discussed in studies [26,62] (see Figure 4).…”

Enhancing Multi-Criteria Decision-Making with Fuzzy Logic: An Advanced Defining Interrelationships Between Ranked II Method Incorporating Triangular Fuzzy Numbers

“…Also, the mentioned method was improved using fuzzy theory and applied in numerous areas [21][22][23]. The DIBR method was introduced in 2021 [24] and has since found wide application in various fields [25][26][27][28], while the fuzzy DIBR method was presented in only one study [29]. The DIBR method was improved by developing the new DIBR II method [30].…”

Optimizing Military Decision-Making: Application of the FUCOM– EWAA–COPRAS-G MCDM Model

“…Addressing such complex problems, particularly from multiple perspectives, calls for the application of MCDM methods. These methods, adept at handling inaccuracies and uncertainties in decision-making, have found applications across various sectors [3][4][5][6][7][8][9][10][11][12][13], including the military [14][15][16][17][18][19][20][21][22][23]. A review of existing literature reveals diverse approaches to COA selection using MCDM methods.…”