Multi-criteria decision-making in A defensive operation of the guided anti-tank missile battery: An example of the hybrid model fuzzy AHP - MABAC
Dragan Bojanić,Mitar Kovač,Marina Bojanic,Vladimir Ristic +3 more
- Vol. 1, Iss: 1, pp 51-66
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TLDR
This study provides a multi-criteria decision-making (MCDM) model so that the confidence interval of fuzzy numbers describes the comparison in pairs whose degree is not determined before the comparison.Abstract:
The military decision-making process is a proven analytical process for designing operations, troops’ movements, logistics or air defense planning. The hybrid FAHP-MABAC model is tested for obtaining/selecting the results for an optimal firing position of the guided anti-tank missile battery (GAMB).This study provides a multi-criteria decision-making (MCDM) model so that the confidence interval of fuzzy numbers describes the comparison in pairs whose degree is not determined before the comparison. By using mathematical expressions the confidence interval is brought into direct connection with the degree of certainty of decision-makers/expert of the comparison performed. In the group decision-making, the confidence intervals differ depending on the decision-maker/expert’s opinion. Finally the sensitivity analysis is used to determine how sensitive a decision model is. The suggested model is expected to contribute to the development of the science of military-operations as well as to prove itself useful to the actors related to defense.read more
Citations
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Assessment of third-party logistics provider using multi-criteria decision-making approach based on interval rough numbers
TL;DR: A new integrated interval rough number (IRN) approach based on the Best Worst Method (BWM) and Weighted Aggregated Sum Product Assessment (WASPAS) method along Multi-Attributive Border Approximation area Comparison (MABAC) to evaluate 3PL providers is presented.
Journal ArticleDOI
MABAC method for multiple attribute group decision making under q-rung orthopair fuzzy environment
TL;DR: An actual MADM application has been given to testify this new model and some comparisons between this novel MABAC model and two q-ROFNs aggregation operators are provided to further demonstrate the merits of the q-rung orthopair fuzzy MABac model.
Journal ArticleDOI
Normalized weighted geometric bonferroni mean operator of interval rough numbers – application in interval rough dematel-copras model
TL;DR: In this article, a new approach to the treatment of uncertainty and imprecision in multi-criteria decision-making based on interval rough numbers (IRN) is presented.
Journal ArticleDOI
selection of carpenter manufacturer using fuzzy EDAS method
TL;DR: Aim of this study is to select the most suitable manufacturer of PVC carpentry for apartment refurbishing using one of newer methods of multicriteria analysis of fuzzy Evaluation Based on Distance from Average Solution (fuzzy EDAS) method.
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An extended MABAC method for multi-criteria group decision-making problems based on correlative inputs of intuitionistic fuzzy information
TL;DR: This study aims to introduce a series of novel distance measures of an intuitionistic fuzzy set and an extended Multi-attributive Border Approximation Area Comparison method to address multi-criteria group decision-making problems.
References
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Evaluating military training aircrafts through the combination of multi-criteria decision making processes with fuzzy logic. A case study in the Spanish Air Force Academy
TL;DR: A preliminary study of the training aircraft alternatives proposed by the Air Staff and the Logistic Support Command of the Spanish Air Force and the best alternative was shown to be the Pilatus PC-21 aircraft.
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Selecting land mine detection strategies by means of outranking MCDM techniques
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Computational military tactical planning system
Robert Kewley,Mark J. Embrechts +1 more
TL;DR: F fuzzy-genetic decision optimization combines two soft computing methods, genetic optimization and fuzzy ordinal preference, and a traditional hard computing method, stochastic system simulation, to tackle the difficult task of generating battle plans for military tactical forces.
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Use of the fuzzy AHP-MABAC hybrid model in ranking potential locations for preparing laying-up positions
TL;DR: In this article, a hybrid model, FAHP-MABAC, is proposed to support decision making while selecting locations for the preparation of laying-up positions (facilities intended for concealment, protection and maneuvering of military ships).
Journal ArticleDOI
Application the MABAC method in support of decision-making on the use of force in a defensive operation
TL;DR: In this paper, the authors present the application of a new method of multicriteria comparison of approximate border areas -MABAC, which is reflected in defining a distance of criterion function of each observed alternative from the approximate border area.
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