Comparison of Two Fuzzy Multi Criteria Decision Methods for Potential Airport Location Selection

Belbağ, Sedat; Deveci, Muhammet; Uludağ, Ahmet Serhat

doi:10.5220/0004279702700276

Cited by 1 publication

(1 citation statement)

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“…  comparison of two fuzzy multi criteria decision methods for selecting a potential airport location (Belbag et al, 2013)  comparative analysis of fuzzy multi-criteria decision making for selecting a location for a textile plant in Turkey (Demirel et al, 2016)  wind farms site selection (Deveci et al, 2020b) and (Deveci et al, 2021).…”

Section: Multiple-criteria Decision Processmentioning

confidence: 99%

Multiple-criteria model for optimal Anti Tank Ground missile weapon system procurement

Pamučar¹,

Dimitrijević²

2021

Vojnotehnički glasnik

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Introduction: Anti Tank Ground Missiles (ATGMs) are one of the most efficient weapon systems to counter armored and mechanized units. Procurement of these weapons is imperative for armed forces of any country. Adequate evaluation and choice of an efficient ATGM system is a very important factor which affects operational capabilities of armed forces. The purpose of this paper is to present that multi criteria methods can be a useful tool for optimal procurement of ATGMs for armed forces. Methods: The implementation of the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) and the MABAC (Multi Attributive Border Approximation Area Comparison) multi criteria methods will be proposed for decision makers to solve the problem of ATGM procurement. In this paper, four models of ATGMs will be proposed as possible solutions. These ATGMs will be presented as alternatives A1, A2, A3 and A4. Results: The implementation of the methods in this paper has led to the conclusion that the alternative A2 has the highest value and therefore the best course of action for decision makers is to chose procurement of this model of ATGMs. Conclusion: The conclusion is that the mathematical models of multi-criteria decision making presented in this paper unequivocally point to the alternative with the best characteristics, thus presenting extremely useful tools for decision makers.

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Section: Multiple-criteria Decision Processmentioning

confidence: 99%