A Fuzzy–Rough MCDM Approach for Selecting Green Suppliers in the Furniture Manufacturing Industry: A Case Study of Eco-Friendly Material Production

Zhou, Bin; Štilić, Anđelka; Stević, Željko; Puška, Adis

doi:10.3390/su151310745

Cited by 8 publications

(6 citation statements)

References 67 publications

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“…In order to determine this importance, the weights of these criteria were calculated using the FR SWARA method. However, this study did not use the FR SWARA method as presented in the papers of Chen et al [52] and Wang et al [68]. In this study, this method was modified to simplify its use, and in addition, to allow the weights to better represent the evaluations of the experts.…”

Section: Discussionmentioning

confidence: 99%

“…In the selection a sustainable contrac necessary to determine the importance of w The original version of the SWARA metho belongs to subjective methods for determin has seen many applications and modificati ifying the FR method in FR form were use et al [52] from their study:…”

Section: Fuzzy-rough Swara Methodsmentioning

confidence: 99%

“…In this study, the steps for modifying the FR method in FR form were used. This modified the steps developed by Chen et al [52] from their study:…”

Section: Fuzzy-rough Swara Methodsmentioning

confidence: 99%

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

Stojanović

2024

Symmetry

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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.

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Section: Discussionmentioning

confidence: 99%

Section: Fuzzy-rough Swara Methodsmentioning

confidence: 99%

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

Stojanović

2024

Symmetry

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“…We have used this subjective method for calculating criteria weights because this case study needs the adequate expertise of DMs and their preferences based on skills and knowledge. This method is extended with numerous theories [27][28][29][30] and, finally, with the IFRN [31].…”

Section: Interval Fuzzy-rough-number Swara Methodsmentioning

confidence: 99%

A Novel Data-Envelopment Analysis Interval-Valued Fuzzy-Rough-Number Multi-Criteria Decision-Making (DEA-IFRN MCDM) Model for Determining the Efficiency of Road Sections Based on Headway Analysis

Andjelković,

Stojić,

Nikolić

et al. 2024

Mathematics

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The capacity of transport infrastructure is one of the very important tasks in transport engineering, which depends mostly on the geometric characteristics of road and headway analysis. In this paper, we have considered 14 road sections and determined their efficiency based on headway analysis. We have developed a novel interval fuzzy-rough-number decision-making model consisting of DEA (data envelopment analysis), IFRN SWARA (interval-valued fuzzy-rough-number stepwise weight-assessment-ratio analysis), and IFRN WASPAS (interval-valued fuzzy-rough-number weighted-aggregate sum–product assessment) methods. The main contribution of this study is a new extension of WASPAS method with interval fuzzy rough numbers. Firstly, the DEA model was applied to determine the efficiency of 14 road sections according to seven input–output parameters. Seven out of the fourteen alternatives showed full efficiency and were implemented further in the model. After that, the IFRN SWARA method was used for the calculation of the final weights, while IFRN WASPAS was applied for ranking seven of the road sections. The results show that two sections are very similar and have almost equal efficiency, while the other results are very stable. According to the results obtained, the best-ranked is a measuring segment of the Ivanjska–Šargovac section, with a road gradient = −5.5%, which has low deviating values of headways according to the measurement classes from PC-PC to AT-PC, which shows balanced and continuous traffic flow. Finally, verification tests such as changing the criteria weights, comparative analysis, changing the λ parameter, and reverse rank analysis have been performed.

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“…This is another reason why the SWARA method was used. This method contains the following steps [51]:…”

Section: Fuzzy-rough Swara Methodsmentioning

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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A Fuzzy–Rough MCDM Approach for Selecting Green Suppliers in the Furniture Manufacturing Industry: A Case Study of Eco-Friendly Material Production

Cited by 8 publications

References 67 publications

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

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

A Novel Data-Envelopment Analysis Interval-Valued Fuzzy-Rough-Number Multi-Criteria Decision-Making (DEA-IFRN MCDM) Model for Determining the Efficiency of Road Sections Based on Headway Analysis

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

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