Optimising Assault Boat Selection for Military Operations: An Application of the DIBR II-BM-CoCoSo MCDM Model

Tešić, Duško; Božanić, Darko; Radovanović, Marko; Petrovski, Aleksandar

doi:10.56578/jimd020401

Cited by 12 publications

(7 citation statements)

References 35 publications

(41 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…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. In this analysis, the value of one criterion was reduced by 5%, 15%, 25%, etc., up to 95%.…”

Section: Resultsmentioning

confidence: 99%

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

Wang,

Xu,

Puška

et al. 2023

Sustainability

View full text Add to dashboard Cite

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.

show abstract

Section: Resultsmentioning

confidence: 99%

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

Wang,

Xu,

Puška

et al. 2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…Considering all five calculation models of the IMF SWARA method, it is necessary to perform averaging in order to obtain the final values that are later implemented in the Fuzzy ROV method. In this paper, the Bonferroni operator [39,40] is used to average the weights of five models of the IMF SWARA method and the final values are shown below.…”

Section: Calculation Of Criterion Weightsmentioning

confidence: 99%

A Novel Hybrid Fuzzy Multiple-Criteria Decision-Making Model for the Selection of the Most Suitable Land Reclamation Variant at Open-Pit Coal Mines

Dimitrijević,

Šubaranović,

Stević

et al. 2024

Sustainability

View full text Add to dashboard Cite

The expansion of the open-pit exploitation of mineral raw materials, and especially the energy resources of fossil fuels, makes open-pit coal mines spatially dominant objects of large mining basins. Exploitation activities are accompanied by negative ecological impacts on the environment, which requires the integral planning, revitalization, reclamation, and rehabilitation of the disturbed area for human use in the post-exploitation period. The post-exploitation remediation and rehabilitation of open-pit mining areas and disposal sites, i.e., space disturbed by mining activities and accompanying facilities, are complex synthetic multidisciplinary multiphase engineering project tasks. In this paper, a hybrid fuzzy MCDM model (Multiple-Criteria Decision-Making) was developed for the selection of a reclamation solution for the Tamnava-West Field open-pit mine. IMF SWARA (Improved Fuzzy Stepwise Weight Assessment Ratio Analysis) was applied to define the weights of 12 criteria of different structures used in the evaluation of reclamation solutions. The Fuzzy ROV (Range of Value) method was applied to select the reclamation solution from a total of 11 solutions previously obtained using a process approach. The results of the hybrid IMF SWARA—Fuzzy ROV model show that forestry is the best solution for the Tamnava-West Field open-pit mine. After the results had been obtained, verification analyses of the proposed model were performed and the best stable proposed reclamation solution was determined.

show abstract

“…Changing the weights of the criteria and determining how this weight change impacts the final ranking of the alternatives was the intent of this analysis. [57]. In this way, it can be determined how a particular criterion affects how the alternatives are ranked [58].…”

Section: Comparative and Sensitivity Analysismentioning

confidence: 99%

Selection of a Green Contractor for the Implementation of a Solar Power Plant Project

Stojanović

2024

Symmetry

View full text Add to dashboard Cite

This study is focused on the problem of contractor selection for the implementation of a solar power plant project to produce electricity from sustainable sources for the needs of the company Voćar. The goal of this research is to select a construction contractor to install a solar power plant using sustainability criteria. With this power plant, the company Voćar can reduce its electricity costs and contribute to the production of sustainable energy. A total of three main sustainability criteria were used, in which six auxiliary criteria were symmetrically distributed. With these criteria, six suppliers were analyzed, and expert decision making was carried out with the application of the fuzzy–rough approach. To define the weights of the criteria, the SWARA method was utilized in this study. Based on the findings of this method, the most important criteria are the ecological criteria. Using the CRADIS method, the contractors were ranked, and the results show that contractor C6 has the best results and is the first choice for implementing this project. Choosing the best supplier increases the sustainability of project implementation and the realization of the expected effects.

show abstract

Optimising Assault Boat Selection for Military Operations: An Application of the DIBR II-BM-CoCoSo MCDM Model

Cited by 12 publications

References 35 publications

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

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

A Novel Hybrid Fuzzy Multiple-Criteria Decision-Making Model for the Selection of the Most Suitable Land Reclamation Variant at Open-Pit Coal Mines

Selection of a Green Contractor for the Implementation of a Solar Power Plant Project

Contact Info

Product

Resources

About