Selection of unployed aircraft for training of small-range aircraft defense system AHP - TOPSIS optimization methods

Djukic, Ðordje; Petrović, Ivan; Božanić, Darko; Delibašić, Boris

doi:10.2298/yjor211125007d

Cited by 19 publications

(12 citation statements)

References 24 publications

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“…This deviation was caused by the criteria used, so a sensitivity analysis was conducted to investigate how much each criterion affected the change in the ranking of the alternatives. As well as a comparison with other MCDM methods, the sensitivity analysis of the model played a significant role in the validation of the results obtained [57][58][59][60]. Sensitivity analysis aims to examine how much the application of the weight of one criterion affects the final ranking of the studied alternatives [61], in this case vehicles.…”

Section: Resultsmentioning

confidence: 99%

Multi-Criteria Selection of Electric Delivery Vehicles Using Fuzzy–Rough Methods

Wang,

Xu,

Puška

et al. 2023

Sustainability

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Urban logistics implementation causes environmental pollution; therefore, it is necessary to consider the impact on the environment when carrying out such logistics. Electric vehicles are alternative vehicles that reduce the impact on the environment. For this reason, this study investigated which electric vehicle has the best indicators for urban logistics. An innovative approach when selecting such vehicles is the application of a fuzzy–rough method based on expert decision making, whereby the decision-making process is adapted to the decision makers. In this case, two methods of multi-criteria decision making (MCDM) were used: SWARA (stepwise weight assessment ratio analysis) and MARCOS (measurement alternatives and ranking according to compromise solution). By applying the fuzzy–rough approach, uncertainty is included when making a decision, and it is possible to use linguistic values. The results obtained by the fuzzy–rough SWARA method showed that the range and price of electric vehicles have the greatest influence on the selection of an electric delivery vehicle. The results of applying the fuzzy–rough MARCOS method indicated that the Kangoo E-Tech Electric vehicle has the best characteristics according to experts’ estimates. These results were confirmed by validation and the application of sensitivity analysis. In urban logistics, the selection of an electric delivery vehicle helps to reduce the impact on the environment. By applying the fuzzy–rough approach, the decision-making problem is adjusted to the preferences of the decision makers who play a major role in purchasing a vehicle.

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Section: Resultsmentioning

confidence: 99%

Multi-Criteria Selection of Electric Delivery Vehicles Using Fuzzy–Rough Methods

Wang,

Xu,

Puška

et al. 2023

Sustainability

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“…To reduce the impact of expert judgment in determining the criterion weights, a combination of the subjective and objective determination of criterion weights was used [ 46 , 47 ]. Fuzzy LMAW and entropy methods were used for this purpose.…”

Section: Discussionmentioning

confidence: 99%

Selection of an Insurance Company in Agriculture through Hybrid Multi-Criteria Decision-Making

Puška

Lukić²,

Božanić

et al. 2023

Entropy

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Crop insurance is used to reduce risk in agriculture. This research is focused on selecting an insurance company that provides the best policy conditions for crop insurance. A total of five insurance companies that provide crop insurance services in the Republic of Serbia were selected. To choose the insurance company that provides the best policy conditions for farmers, expert opinions were solicited. In addition, fuzzy methods were used to assess the weights of the various criteria and to evaluate insurance companies. The weight of each criterion was determined using a combined approach based on fuzzy LMAW (the logarithm methodology of additive weights) and entropy methods. Fuzzy LMAW was used to determine the weights subjectively through expert ratings, while fuzzy entropy was used to determine the weights objectively. The results of these methods showed that the price criterion received the highest weight. The selection of the insurance company was made using the fuzzy CRADIS (compromise ranking of alternatives, from distance to ideal solution) method. The results of this method showed that the insurance company DDOR offers the best conditions for crop insurance for farmers. These results were confirmed by a validation of the results and sensitivity analysis. Based on all of this, it was shown that fuzzy methods can be used in the selection of insurance companies.

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“…It is calculated by the following formula: Where ρ stands for correlation coefficient, D for grade difference, N for sample size, and i for the number of evaluation objects. A correlation coefficient above 0.8 indicates a strong correlation between alternatives [ 31 ]. As shown in Table 7 , at the significance level of 1%, the correlation values of each alternative scheme are between 0.991 and 1, which fully indicates that TOPSIS has been well implemented in solving the problem.…”

Section: Sensitivity Analysismentioning

confidence: 99%

Research on the influencing factors and improvement paths of digital trade development in the Yangtze River Economic Belt——Based on entropy-weighting TOPSIS and fsQCA method

Fan

2023

PLoS ONE

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While China’s digital trade is developing rapidly, it is facing the problem of uncoordinated and uneven regional development. In order to explore countermeasures to bridge the differences in regional digital trade, this paper first measures the development level of digital trade in 11 provinces of the Yangtze River Economic Belt through entropy-weighting TOPSIS. Secondly, the fuzzy set Qualitative Comparative Analysis method was used to analyze the influencing factors and improvement paths of digital trade development in various provinces of the Yangtze River Economic Belt. The research results show that: first, the current development level of digital trade is gradually weakening from east to west, especially the development of digital trade in the Yangtze River Delta region is the best, showing a large regional imbalance and uncoordinated development. What’s more, the market size and urbanization have the most significant impact on the development of digital trade. Finally, we examine the reliability of the results by sensitivity analysis, and find that our ranking results are robust. In the future, China should continue to actively promote the coordinated development strategy of regional economy and participate in international digital trade exchanges and cooperation, so as to promote the coordinated and high-quality development of digital trade.

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Selection of unployed aircraft for training of small-range aircraft defense system AHP - TOPSIS optimization methods

Cited by 19 publications

References 24 publications

Multi-Criteria Selection of Electric Delivery Vehicles Using Fuzzy–Rough Methods

Multi-Criteria Selection of Electric Delivery Vehicles Using Fuzzy–Rough Methods

Selection of an Insurance Company in Agriculture through Hybrid Multi-Criteria Decision-Making

Research on the influencing factors and improvement paths of digital trade development in the Yangtze River Economic Belt——Based on entropy-weighting TOPSIS and fsQCA method

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