DIBR–DOMBI–FUZZY MAIRCA Model for Strategy Selection in the System of Defense
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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Hindawi Limited
2023-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2023/4961972 |
| _version_ | 1826998480247193600 |
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| author | Duško Tešić Darko Božanić Dejan Stojković Adis Puška Ilija Stojanović |
| author_facet | Duško Tešić Darko Božanić Dejan Stojković Adis Puška Ilija Stojanović |
| author_sort | Duško Tešić |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-13T06:16:15Z |
| format | Article |
| id | doaj.art-0c73c771f5034e268fd7eefd018e005b |
| institution | Directory Open Access Journal |
| issn | 1607-887X |
| language | English |
| last_indexed | 2025-02-18T10:14:57Z |
| publishDate | 2023-01-01 |
| publisher | Hindawi Limited |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj.art-0c73c771f5034e268fd7eefd018e005b2024-11-02T05:32:13ZengHindawi LimitedDiscrete Dynamics in Nature and Society1607-887X2023-01-01202310.1155/2023/4961972DIBR–DOMBI–FUZZY MAIRCA Model for Strategy Selection in the System of DefenseDuško Tešić0Darko Božanić1Dejan Stojković2Adis Puška3Ilija Stojanović4Military AcademyMilitary AcademyMilitary AcademyDepartment of Public SafetyCollege of Business AdministrationStrategic 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.http://dx.doi.org/10.1155/2023/4961972 |
| spellingShingle | Duško Tešić Darko Božanić Dejan Stojković Adis Puška Ilija Stojanović DIBR–DOMBI–FUZZY MAIRCA Model for Strategy Selection in the System of Defense Discrete Dynamics in Nature and Society |
| title | DIBR–DOMBI–FUZZY MAIRCA Model for Strategy Selection in the System of Defense |
| title_full | DIBR–DOMBI–FUZZY MAIRCA Model for Strategy Selection in the System of Defense |
| title_fullStr | DIBR–DOMBI–FUZZY MAIRCA Model for Strategy Selection in the System of Defense |
| title_full_unstemmed | DIBR–DOMBI–FUZZY MAIRCA Model for Strategy Selection in the System of Defense |
| title_short | DIBR–DOMBI–FUZZY MAIRCA Model for Strategy Selection in the System of Defense |
| title_sort | dibr dombi fuzzy mairca model for strategy selection in the system of defense |
| url | http://dx.doi.org/10.1155/2023/4961972 |
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