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Multi-criteria decision-making in A defensive operation of the guided anti-tank missile battery: An example of the hybrid model fuzzy AHP - MABAC

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.

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Journal ArticleDOI

Evaluation of Anti-Tank Guided Missiles: An integrated Fuzzy Entropy and Fuzzy CoCoSo multi criteria methodology using technical and simulation data

TL;DR: In this paper , the authors proposed a comprehensive methodology consisting of 4 phases and 15 steps, using simulation and technical data, Fuzzy Shannon's Entropy (F-Entropy) based on α-level sets, and fuzzy CoCoSo with Bonferroni (FCoCoCoSo’B) methods for the selection of ATGMs to be used in the close quarter combat conditions.
Journal ArticleDOI

Experimental investigation and optimization of dimple-roughened impinging jet solar air collector using a novel AHP-MABAC approach

TL;DR: In this article , the effect of the flow and geometric parameters of a dimple-roughened absorber plate on the enactment of solar air collectors (SACs) with air-impinged jets was investigated.
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An extension of the mabac and os model using linguistic neutrosophic numbers: selection of unmanned aircraft for fighting forest fires

TL;DR: Testing of the model showed that the proposed model based on LNN provides an objective expert evaluation by eliminating subjective assessments when determining the numerical values of criteria.
References
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Journal ArticleDOI

Data envelopment analysis: The evolution of the state of the art (1978–1995)

TL;DR: The purpose of this paper is to briefly trace the evolution of DEA from the initial publication by Charnes et al. (1978b) to the current state of the art (SOA).
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The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC)

TL;DR: Through the research presented in this paper, it is shown that the new MABAC method of multi-criteria decision-making is a useful and reliable tool for rational decision- making.
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A discussion on Extent Analysis Method and applications of fuzzy AHP

TL;DR: The basic theory of the triangular fuzzy number is proved and the formulation of comparing the triangular fuzziness number's size is improved, and a practical example on petroleum prospecting is introduced.
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Geographical Information Systems (GIS) and Multi-Criteria Decision Making (MCDM) methods for the evaluation of solar farms locations: Case study in south-eastern Spain

TL;DR: In this paper, a combination of a Geographic Information System (GIS) and tools or multi-criteria decision-making (MCDM) methods was used to obtain the evaluation of the optimal placement of photovoltaic solar power plants in the area of Cartagena (Region of Murcia), in southeast Spain.
Journal ArticleDOI

Combination of MCDM and covering techniques in a hierarchical model for facility location: a case study

TL;DR: In this article, the minimum number of distribution centers and the quality of the locations of the distribution centers in a real-world military logistics system were determined by multi-attribute decision making.
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