Selection of Commercially Available Electric Vehicle using Fuzzy AHP-MABAC

Biswas, T.K.; Das, Manik Chandra

doi:10.1007/s40032-018-0481-3

Cited by 52 publications

(28 citation statements)

References 16 publications

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“…It evaluates the corresponding strengths and weaknesses of each alternative over its competitors with reference to each criterion under consideration. This method is adopted based on the following procedural steps (Chatterjee et al , 2017; Biswas and Das, 2018; Roy et al , 2018; Biswas and Das, 2019).…”

Section: Methodsmentioning

confidence: 99%

A DEMATEL-MABAC-based approach for grading and evaluation of jute fibers

Agarwal

Chakraborty

2020

RJTA

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Purpose Due to several unique characteristics, such as high tensile strength, low extensibility, high frictional resistance, biodegradability, eco-friendliness and cheapness, Jute ranks second just after cotton with respect to its worldwide consumption and production. To overcome the difficulties of the existing Jute grading procedure, this paper aims to focus on the application of decision-making trial and evaluation laboratory (DEMATEL) and multi-attributive border approximation area comparison (MABAC) methods for evaluation of 10 Tossa Jute fiber lots based on strength, defects, root content, color, fineness and bulk density properties. Design/methodology/approach The DEMATEL method divides all the six physical properties of Jute fiber into cause and effect groups. The most influencing property is also identified. On the other hand, the considered Jute fiber lots are ranked using MABAC method along with the identification of the strengths and weaknesses of each of them. Findings This combined approach would provide a more scientific and realistic way of Jute grading and evaluation based on various properties of the considered Jute fiber lots. The positions of the superior and the inferior Jute lots perfectly match with those as identified by the earlier researchers. Originality/value It is concluded that the adopted combined decision-making tool can be effectively applied for grading and evaluation of other natural fibers with diverse heterogeneous physical properties.

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Section: Methodsmentioning

confidence: 99%

A DEMATEL-MABAC-based approach for grading and evaluation of jute fibers

Agarwal

Chakraborty

2020

RJTA

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“…In turn, in the problem of choosing BEVs for private individuals, Ziemba [19] used the NEAT F-PROMETHEE method representing uncertain values as trapezoidal fuzzy numbers (TFNs). Biswas and Das [34] used the crisp MABAC method to build the BEVs ranking, and the criteria weights were defined by the fuzzy AHP method based on TrFNs. Babar et al [35] used SWOT analysis and fuzzy linear programming with TrFNs to select the appropriate EV type for developing countries, in particular considering the case of Pakistan.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Then, the fuzzy positive-ideal solution (FPIS) and fuzzy negative-ideal solution (FNIS) are calculated according to the Formulas ( 32) and (33), and the distances of alternatives from FPIS and FNIS using Formulas (34) and (35):…”

Section: Fuzzy Topsismentioning

confidence: 99%

Selection of Electric Vehicles for the Needs of Sustainable Transport under Conditions of Uncertainty—A Comparative Study on Fuzzy MCDA Methods

Ziemba

2021

Energies

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All over the world, including Poland, authorities are taking steps to increase consumer interest in electric vehicles and sustainable transport as a way to reduce environmental pollution. For this reason, the electric vehicle market is dynamically and constantly developing, more and more modern vehicles are introduced to it, and purchases are often subsidized by the government. The aim of the article is to analyse the A–C segments of the Polish electric vehicle market and to recommend the most attractive vehicle from the perspective of sustainable transport. The aim of the research was achieved with the use of three multi-criteria decision aid (MCDA) methods, which deal well with the uncertainty and imprecision of data that occur in the case of many different parameters of electric vehicles. In particular, the following methods were used: the fuzzy technique for order of preference by similarity to ideal solution (TOPSIS), the fuzzy simple additive weighting (SAW) method, and the new easy approach to fuzzy preference ranking organization method for enrichment evaluation II (NEAT F-PROMETHEE II). Electric vehicle rankings obtained using each method were compared and verified by stochastic analysis. The conducted analyses and comparisons allowed us to identify the most interesting electric vehicles, which currently appear to be the Volkswagen ID.3 Pro S and Nissan LEAF e+.

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“…Also, the fuzzy MABAC approach was implemented for solving decision-making problems encountered in various fields. The main focal points of these papers can be summarized as follows: evaluation of the efficiency of social media using (Sun et al, 2019;Bobar et al, 2020), Risk assessment of rockburst (Liang et al, 2019), Assessment of undergraduate teaching (Gong et al, 2019), strategy selection for health tourism (Büyüközkan et al, 2020), the selection of location for the construction of single-span bailey bridge (Božanić et al, 2019), green supplier selection (Zhang et al, 2021), Selection of fire position of mortar units (Jokić et al, 2021), Selection of commercially available electric vehicle (Biswas & Das, 2019). As a result, studies focusing on logistics villages from the perspective of logistics companies and operators' preferences are limited.…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluating Logistics Villages in Turkey Using Hybrid Improved Fuzzy Swara (Imf Swara) and Fuzzy Mabac Techniques

Zolfani

Görçün

Küçükönder

2021

Technological and Economic Development of Economy

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Positioning in the right location for organizing logistics activities is a determinative factor in the aspect of costs, effectivity, productivity, and performance of these operations carried out by logistics firms. The proper logistics village selection is a crucial, complicated, and time-consuming process for decision-makers who have to make the right and optimal decision on this issue. Decision-makers need a methodological frame with a practical algorithm that can be implemented quickly to solve these decision-making problems. Within this scope, the current paper aims to present an evaluation tool, which provides more reasonable and reliable results for decision-makers to solve the logistics village selection problem that is very complicated and has uncertain conditions based on fuzzy approaches. In this study, we propose the Improved Fuzzy Step-Wise Weight Assessment Ratio Analysis (IMF SWARA), a modified and extended version of the traditional fuzzy Step-Wise Weight Assessment Ratio Analysis (F-SWARA) to identify the criteria weights. Also, we suggest applying the fuzzy Multi-Attributive Border Approximation area Comparison (F-MABAC) technique to determine the preference ratings of the alternatives. This combination has many valuable contributions. For example, it proposes to use a more reliable and consistent evaluation scale based on fuzzy sets. Hence, decision-makers can perform more reliable and reasonable pairwise comparisons by considering this evaluation scale. Besides, it presents a multi-attribute evaluation system based on the identified criteria weights. From this perspective, the proposed model is implemented to evaluate eight different logistics village alternatives with respect to nine selection criteria. According to the analysis results, while A8 is the most appropriate option, C1 Gross National Product (GNP) is the most significant criterion. A comprehensive sensitivity analysis was performed to test the robustness and validation of the proposed model, and the results of the analysis approve the validity and applicability of the proposed model. As a result, the suggested integrated MCDM framework can be applied as a valuable and practical decision-making tool to develop new strategies and improve the logistics operations by decision-makers.

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Selection of Commercially Available Electric Vehicle using Fuzzy AHP-MABAC

Cited by 52 publications

References 16 publications

A DEMATEL-MABAC-based approach for grading and evaluation of jute fibers

A DEMATEL-MABAC-based approach for grading and evaluation of jute fibers

Selection of Electric Vehicles for the Needs of Sustainable Transport under Conditions of Uncertainty—A Comparative Study on Fuzzy MCDA Methods

Evaluating Logistics Villages in Turkey Using Hybrid Improved Fuzzy Swara (Imf Swara) and Fuzzy Mabac Techniques

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