Multi-criteria decision-making in A defensive operation of the guided anti-tank missile battery: An example of the hybrid model fuzzy AHP - MABAC
15 Mar 2018-Vol. 1, Iss: 1, pp 51-66
TL;DR: 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.
Citations
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TL;DR: This paper aims to resolve the problem of freight transport system’s performance measurement while developing a comprehensive framework with incorporation of sustainable elements and establishing a rough set-based decision-making approach.
Abstract: Among various operational decision-making tasks in a transportation system, sustainable performance evaluation has a very promising and direct influence on the community as well as environment. To ...
41 citations
Cites methods from "Multi-criteria decision-making in A..."
...…been widely applied as well as modified in order to solve numerous MCDM problems (Bozanic, Pamucar, and Karovic 2016; Peng and Yang 2016; Xue et al. 2016; Chatterjee et al. 2017; Yu, Wang, and Wang 2017; Bojanic et al. 2018; Pamucar, Petrovic, and Cirovic 2018, Pamucar, Stevic, and Zavadskas 2018)....
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...To date, it has been widely applied as well as modified in order to solve numerous MCDM problems (Bozanic, Pamucar, and Karovic 2016; Peng and Yang 2016; Xue et al. 2016; Chatterjee et al. 2017; Yu, Wang, and Wang 2017; Bojanic et al. 2018; Pamucar, Petrovic, and Cirovic 2018, Pamucar, Stevic, and Zavadskas 2018)....
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TL;DR: This paper aims to provide a history of Sichuan Normal University and its role in the development of international finance and economics in the 21st Century.
Abstract: Ping WANG, Jie WANG, Guiwu WEI, Cun WEI Yu WEI Institute of technology, Sichuan Normal University, Chengdu, 610101, PR China School of Business, Sichuan Normal University, Chengdu, 610101, PR China School of Statistics, Southwestern University of Finance and Economics, Chengdu, 611130, PR China School of Finance, Yunnan University of Finance and Economics, Kunming 650221, PR China e-mail: weiguiwu1973@sicnu.edu.cn
33 citations
Cites methods from "Multi-criteria decision-making in A..."
...Bojanic et al. (2018) gave the hybrid model fuzzy AHPMABAC for MADM in a defensive operation of the guided anti-tank missile battery....
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01 Jan 2020
TL;DR: An extended TOPSIS (“technique for order preference by similarity to ideal solution”) method is introduced to solve the group decision-making problems and a new clustering technique is proposed based on the stated measures to classify the objects.
Abstract: Single-valued neutrosophic set (SVNS) is an important contrivance for directing the decision-making queries with unknown and indeterminant data by employing a degree of "acceptance", "indeterminacy", and "non-acceptance" in quantitative terms. Under this set, the objective of this paper is to propose some new distance measures to find discrimination between the SVNSs. The basic axioms of the measures have been highlighted and examined their properties. Furthermore, to examine the relevance of proposed measures, an extended TOPSIS ("technique for order preference by similarity to ideal solution") method is introduced to solve the group decision-making problems. Additionally, a new clustering technique is proposed based on the stated measures to classify the objects. The advantages, comparative analysis as well as superiority analysis is given to shows its influence over existing approaches.
29 citations
TL;DR: In this paper , the authors present a literature review on the main applications of MCDA in the military area, considering the tactical, operational and strategic spheres, which includes a bibliometric study and literature review of documents from the Scopus and Web of Science databases.
Abstract: Military issues have great relevance worldwide since they affect the security and sovereignty of nations. In this context, the application of Multicriteria Decision Analysis (MCDA) methods is important because accurate decision-making is the deciding factor for success, which can reduce expenses and increase defense capacity. This paper aims to present a literature review on the main applications of MCDA in the military area, considering the tactical, operational and strategic spheres. The methodology includes a bibliometric study and literature review of documents from the Scopus and Web of Science databases. The bibliometric study identified the document type, language, year of publication, authors, author network, author’s publications, affiliation, keyword clusters, the field of knowledge, country and the main applied MCDA methods in military problems. The literature review allows us to verify that, as well as in other areas of knowledge, the Analytic Hierarchy Process (AHP) is the most applied MCDA method in the military area.
26 citations
TL;DR: An integrated approach of the analytic hierarchy process (AHP) and multi-attributive border approximation area comparison (MABAC) method as a multi-criterion decision-making tool (MCDM) for the selection and ranking of the best alternative of the electric vehicle.
Abstract: Electric vehicles (EVs) play a vital role in reducing greenhouse gas emissions resulting in a reduction of the problem of global warming. Many of the countries are towards the deployment of electric vehicles contributing to sustainable development. Despite the rapid expansion of electric vehicles worldwide, the selection of the best alternative among available variants of EVs is difficult. This paper aims to present an integrated approach of the analytic hierarchy process (AHP) and multi-attributive border approximation area comparison (MABAC) method as a multi-criterion decision-making tool (MCDM) for the selection and ranking of the best alternative of the electric vehicle. The AHP method is used to obtain weight coefficients of criteria, and the selection of EVs alternatives is evaluated using the MABAC method. For the study, a sample of six feasible alternatives has been considered. The novelty of this work lies in the combined approach of AHP-MABAC, which has not been applied previously in this domain. This study contributes by providing a real preference for a comprehensive set of selection criteria and assessing the best alternative from available electric vehicles.
26 citations
References
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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).
Abstract: 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). The state of development of DEA is characterized at four points in time to provide a perspective in both directions—past and future. An evolution map is provided which illustrates DEA growth during the 17-year period, the timing of the major events, and the interconnections and influences between topics. An extensive DEA bibliography is provided.
836 citations
Additional excerpts
...Some of the well-known expressions for defuzzification (Seiford, 1996) are the following ones: 13 1 2 1 1defazzy S= t t t t 3 t (11) 13 2 1defazzy S= t t 1 t 2 (12) Where represents the degree of optimism....
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...Some of the well-known expressions for defuzzification (Seiford, 1996) are the following ones: 1 3 1 2 1 1 defazzy S= t t t t 3 t (11)...
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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.
Abstract: Application of a new MCDA technique called MABAC.The MABAC sensitivity analysis.Five other MCDA techniques were tested under the same conditions.The MABAC showed stability and other techniques. This paper presents the application of the new DEMATEL-MABAC model in the process of making investment decisions on the acquisition of manipulative transport (Forklifts) in logistics centers. The DEMATEL method was used to obtain the weight coefficients of criteria, on the basis of which the alternatives were evaluated. The selection of criteria for evaluating Forklifts was based on an analysis of available literature. The evaluation and selection of Forklifts was carried out using a new multi-criteria method - the MABAC (Multi-Attributive Border Approximation area Comparison) method. This paper presents a practical application and a sensitivity analysis of the MABAC method. The sensitivity analysis was conducted in three stages. In the first stage, a stability analysis was carried out on the solution reached by the MABAC method, depending on changes made to the weights of the criteria. In the second and third stages, a consistency analysis of the results from the MABAC method was carried out depending on both the changes in the measurement units in which the values of individual criteria are presented and on the formulation of the criteria. The SAW, COPRAS, TOPSIS, MOORA and VIKOR methods were tested under the same conditions. Based on the results obtained, it was shown that the SAW, COPRAS, TOPSIS, MOORA and VIKOR methods do not meet one or more of the conditions set, while the MABAC method showed stability (consistency) in its solutions. 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.
522 citations
"Multi-criteria decision-making in A..." refers methods in this paper
...The MABAC method was developed by Pamučar and Ćirović (Pamučar & Ćirović, 2015)....
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...The MABAC method provides stable (consistent) solutions and it represents a reliable tool for rational decision-making (Pamučar & Ćirović, 2015)....
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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.
472 citations
"Multi-criteria decision-making in A..." refers methods in this paper
...The Saaty's scale, which is an indispensable part of the AHP method, shows good results in defining the criteria weight coefficients, and it is increasingly applied with other methods (Knežević et al., 2015; Zhu et al., 1999)....
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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.
Abstract: This paper is based on the combination of a Geographic Information System (GIS) and tools or multi-criteria decision making (MCDM) methods in order to obtain the evaluation of the optimal placement of photovoltaic solar power plants in the area of Cartagena (Region of Murcia), in southeast Spain. The combination GIS–MCDM generates an excellent analysis tool that allows for the creation of an extensive cartographic and alphanumeric database that will later be used by multi-criteria methodologies to simplify problems to solve and promote the use of multiple criteria. In GIS two types of criteria will be reflected: constraints or restrictive criteria, and weighting criteria or factors. Constraints or restrictive criteria will make it possible to reduce the area of study by discarding those areas that prevent the implementation of renewable energy plants. These criteria will be obtained from the legislation (planning regulations, protected areas, road networks, railways, waterways, mountains, etc). Weighting criteria or factors will be those which, according to the objective to be reached, influence the ability to solve a concrete alternative. The choice of such criteria is marked by the influence presented to the overall goal; in this case they will be location, geomorphological, environmental and climatic criteria. Through the use of MCDM the criteria or factors mentioned will be weighted in order to evaluate potential sites to locate a solar plant. Analysis and calculation of the weights of these factors will be conducted using Analytic Hierarchy Process (AHP). The assessment of the alternatives according to their degree of adequacy is carried out through the TOPSIS method (Technique for Order Preference by Similarity to Ideal Solution).
395 citations
"Multi-criteria decision-making in A..." refers background in this paper
..., 2017), as well as in other research disciplines (Sánchez-Lozano et al., 2013)....
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...…nowadays widely used in the military (Kewley & Embrechts, 2002; De Leeneer & Pastijn, 2002; Zanjirani & Asgarib, 2007; Kose et al., 2013; Gyarmati, 2015; Goztepe & Kahraman, 2015; Andersson et al., 2015; Boccia et al., 2017), as well as in other research disciplines (Sánchez-Lozano et al., 2013)....
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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.
97 citations
"Multi-criteria decision-making in A..." refers methods in this paper
...…for their resolution such as MCDM processes that are nowadays widely used in the military (Kewley & Embrechts, 2002; De Leeneer & Pastijn, 2002; Zanjirani & Asgarib, 2007; Kose et al., 2013; Gyarmati, 2015; Goztepe & Kahraman, 2015; Andersson et al., 2015; Boccia et al., 2017), as well as in…...
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