Application of Extended Fuzzy ISOCOV Methodology in Nanomaterial Selection Based on Performance Measures

Martin, Nivetha; Edalatpanah, S. A.

doi:10.56578/josa010202

Cited by 9 publications

(5 citation statements)

References 16 publications

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“…Within this analysis, individual criteria weights will be varied by designated percentages, i.e., 30%, 60%, and 90%, while the weights of other criteria remain unaltered. This process serves to gauge the diminished importance of a given criterion within the final decision [69][70][71]. Given the existence of 15 auxiliary criteria, and with their weights adjusted threefold, 45 distinct scenarios are established.…”

Section: Resultsmentioning

confidence: 99%

Assessment of Mountain Tourism Sustainability Using Integrated Fuzzy MCDM Model

Xu,

Bai,

Shi

et al. 2023

Sustainability

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The sustainable development of mountain tourism is crucial for preserving the delicate ecosystems and resources found in these unique landscapes. This research paper investigates the sustainability of mountain lodges, which serve as essential facilities for delivering mountain tourism services. To assess sustainability, expert decision making involving eight selected experts was employed. A hybrid approach combining the IMF SWARA (IMproved Fuzzy Step-wise Weight Assessment Ratio Analysis) method with Fuzzy Dombi Aggregation Operators was utilized to determine the weights of various sustainability criteria. The IMF SWARA method assigned initial weights based on expert input, which were subsequently adjusted using Fuzzy Dombi Aggregation Operators. The findings highlight the significance of two key criteria as per expert evaluations: the quality of the services offered (C21) and the preservation of natural resources (C15). To rank and evaluate the mountain lodges, the fuzzy CRADIS (Compromise Ranking of Alternatives from Distance to Ideal Solution) method was employed, ultimately identifying Zabrana (ML6) as the top-ranked mountain lodge. The validity of these results was confirmed through result validation and sensitivity analysis. This research contributes by providing insights into the current state of mountain tourism and offering guidelines for enhancing the overall mountain tourism experience through the integration of fuzzy methods.

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Section: Resultsmentioning

confidence: 99%

Assessment of Mountain Tourism Sustainability Using Integrated Fuzzy MCDM Model

Xu,

Bai,

Shi

et al. 2023

Sustainability

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“…In this case, estimates are given in the form of good, bad, medium, etc. It is easier for people to say that something is good, very good, or excellent than to evaluate it with numerical ratings using, e.g., a grade of 4 or 5 [41]. By using these values, this research is more adapted to human thinking.…”

Section: Methodology and Methodsmentioning

confidence: 99%

“…Thus, a fuzzy set that uses linguistic values was first formed [40] in order to employ imprecise information in decision making. Linguistic values are used in many studies and have shown their advantages and applicability [41,42]. Subsequently, a rough set enabling decision making in conditions of uncertainty with a reduced subjective influence from decision makers was created [43].…”

Section: Preliminariesmentioning

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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“…Wang and Chen [40] used a T-spherical fuzzy ELECTRE approach to select potential companies for extending the scope of a business. Some recent fuzzy MCDM works can be seen in the work of Badi et al [41], Martin and Edalatpanah [42], Puška and Stojanović [43], and Su et al [44]. However, fuzzy ELECTRE I has yet to be applied to select demand forecasting methods for sustainable manufacturing.…”

Section: Fuzzy Electre Methodsmentioning

confidence: 99%

Extension of Fuzzy ELECTRE I for Evaluating Demand Forecasting Methods in Sustainable Manufacturing

Chu,

Nghiem

2023

Axioms

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The selection of a demand forecasting method is critical for companies aiming to avoid manufacturing overproduction or shortages in pursuit of sustainable development. Various qualitative and quantitative criteria with different weights must be considered during the evaluation of a forecasting method. The qualitative criteria and criteria weights are usually assessed in linguistic terms. Aggregating these various criteria and linguistic weights for evaluating and selecting demand forecasting methods in sustainable manufacturing is a major challenge. This paper proposes an extension of fuzzy elimination and choice translating reality (ELECTRE) I to resolve this problem. In the proposed method, fuzzy weighted ratings are defuzzified with the signed distance to develop a crisp ELECTRE I model. Moreover, an extension to ELECTRE I is developed by suggesting an extended modified discordance matrix and a closeness coefficient for ranking alternatives. The proposed extension can overcome the problem of information loss, which can lead to incorrect ranking results when using the Hadamard product to combine concordance and modified discordance matrices. A comparison is conducted to show the advantage of the proposed extension. Finally, a numerical example is used to demonstrate the feasibility of the proposed method. Furthermore, a numerical comparison is made to display the advantage of the proposed method.

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Application of Extended Fuzzy ISOCOV Methodology in Nanomaterial Selection Based on Performance Measures

Cited by 9 publications

References 16 publications

Assessment of Mountain Tourism Sustainability Using Integrated Fuzzy MCDM Model

Assessment of Mountain Tourism Sustainability Using Integrated Fuzzy MCDM Model

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

Extension of Fuzzy ELECTRE I for Evaluating Demand Forecasting Methods in Sustainable Manufacturing

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