Selection of a phase change material for energy storage by multi-criteria decision method regarding the thermal comfort in a vehicle

Nicolalde, Juan Francisco; Cabrera, Mario; Martínez-Gómez, Javier; Loor, Rodger Benjamín Salazar; Reyes, Evelyn

doi:10.1016/j.est.2022.104437

Cited by 20 publications

(16 citation statements)

References 51 publications

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“…The MEREC uses an exclusion perspective and removal effects rather than the inclusion perspective, which is the basis of other objective weighting methods, to obtain objective criteria weights (Keshavarz-Ghorabaee, 2021, p. 5). Nicolalde et al (2022) stated that the MEREC method is a novel method based on the removal effects of criteria and shows an interesting methodology. Ease of understanding and computation and a robust mathematical background can be lined up as the major advantages of the MEREC method (Kaya et al, 2022, p. 4).…”

Section: Literature Review For the Merec Methodsmentioning

confidence: 99%

“…Nicolalde et al . (2022) stated that the MEREC method is a novel method based on the removal effects of criteria and shows an interesting methodology.…”

Section: Literature Review For the Merec Methodsmentioning

confidence: 99%

“…Ease of understanding and computation and a robust mathematical background can be lined up as the major advantages of the MEREC method (Kaya et al ., 2022, p. 4). The MEREC weights the criteria as an objective method proved to be reliable over a more traditional method as entropy and as a novel method applicable to be used for decision-making problems (Nicolalde et al ., 2022, p. 12). The calculation process is clear, logical and methodical (Simić et al ., 2022a, p. 2).…”

Section: Literature Review For the Merec Methodsmentioning

confidence: 99%

“…Nicolalde et al, 2022;Ulutas ¸et al, 2022) were chosen among the objective weight determination methods in order to determine the criteria weights, perform the analyzes and compare. In this part, calculations and comparisons were made on the examples previously used by Keshavarz-Ghorabaee et al…”

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confidence: 99%

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Measuring performances through multiplicative functions by modifying the MEREC method: MEREC-G and MEREC-H

KELEŞ

2023

IJIEOM

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PurposeThis study aims to apply new modifications by changing the nonlinear logarithmic calculation steps in the method based on the removal effects of criteria (MEREC) method. Geometric and harmonic mean from multiplicative functions is used for the modifications made while extracting the effects of the criteria on the overall performance one by one. Instead of the nonlinear logarithmic measure used in the MEREC method, it is desired to obtain results that are closer to the mean and have a lower standard deviation.Design/methodology/approachThe MEREC method is based on the removal effects of the criteria on the overall performance. The method uses a logarithmic measure with a nonlinear function. MEREC-G using geometric mean and MEREC-H using harmonic mean are introduced in this study. The authors compared the MEREC method, its modifications and some other objective weight determination methods.FindingsMEREC-G and MEREC-H variants, which are modifications of the MEREC method, are shown to be effective in determining the objective weights of the criteria. Findings of the MEREC-G and MEREC-H variants are more convenient, simpler, more reasonable, closer to the mean and have fewer deviations. It was determined that the MEREC-G variant gave more compatible findings with the entropy method.Practical implicationsDecision-making can occur at any time in any area of life. There are various criteria and alternatives for decision-making. In multi-criteria decision-making (MCDM) models, it is a very important distinction to determine the criteria weights for the selection/ranking of the alternatives. The MEREC method can be used to find more reasonable or average results than other weight determination methods such as entropy. It can be expected that the MEREC method will be more used in daily life problems and various areas.Originality/valueObjective weight determination methods evaluate the weights of the criteria according to the scores of the determined alternatives. In this study, the MEREC method, which is an objective weight determination method, has been expanded. Although a nonlinear measurement model is used in the literature, the contribution was made in this study by using multiplicative functions. As an important originality, the authors demonstrated the effect of removing criteria in the MEREC method in a sensitivity analysis by actually removing the alternatives one by one from the model.

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Section: Literature Review For the Merec Methodsmentioning

confidence: 99%

“…Nicolalde et al . (2022) stated that the MEREC method is a novel method based on the removal effects of criteria and shows an interesting methodology.…”

Section: Literature Review For the Merec Methodsmentioning

confidence: 99%

Section: Literature Review For the Merec Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

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Measuring performances through multiplicative functions by modifying the MEREC method: MEREC-G and MEREC-H

KELEŞ

2023

IJIEOM

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“…Liu et al first established a capabilitywillingness-risk (C-W-R) evaluation indicator system and then proposed a multi-criteria decision making method based on the best-worst method, prospect theory, and VIKOR method to obtain the best innovative supplier for new energy vehicle manufacturers [27]. Nicolalde et al firstly used the removal effect of a criterion method to weight the criteria; used the VIKOR, COPRAS, and TOPSIS methods to evaluate the 20 materials, and obtained the best phase change material, which was the savENRG PCM-HS22P [28]. However, these studies mainly focus on the selection of new energy vehicle suppliers, the selection of vehicle materials, and the locations of charging stations and so on.…”

Section: New Energy Vehiclesmentioning

confidence: 99%

A New Multi-Attribute Decision Making Method for Overvalued Star Ratings Adjustment and Its Application in New Energy Vehicle Selection

Zhang

Chen

2023

Mathematics

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Under the global consensus of carbon peaking and carbon neutrality, new energy vehicles have gradually become mainstream, driven by the dual crises regarding the atmospheric environment and energy security. When choosing new energy vehicles, consumers prefer to browse the post-purchase reviews and star ratings of various new energy vehicles on platforms such as DCar.com. However, it is easy for consumers to become lost in the high-star text reviews and mismatched reviews. To solve the above two issues, this study selected nine new energy vehicles and used a multi-attribute decision making method to rank the vehicles. We first designed adjustment rules based on star ratings and text reviews to cope with the issue of high star ratings but negative text reviews. Secondly, we classified consumers and recommended the optimal alternative for each type of consumer to deal with the issue of mismatched demands between review writers and viewers. Finally, this study compared the ranking results with the sales charts of the past year to verify the feasibility of the proposed method initially. The feasibility and stability of the proposed method were further verified through comparative and sensitivity analyses.

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Material Selection for a Biomass Heat Exchange Multicriteria Decision Methods: Study Case on Ecuador

Nicolalde

Martínez-Gómez

et al. 2023

Lecture Notes in Networks and Systems

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Selection of a phase change material for energy storage by multi-criteria decision method regarding the thermal comfort in a vehicle

Cited by 20 publications

References 51 publications

Measuring performances through multiplicative functions by modifying the MEREC method: MEREC-G and MEREC-H

Measuring performances through multiplicative functions by modifying the MEREC method: MEREC-G and MEREC-H

A New Multi-Attribute Decision Making Method for Overvalued Star Ratings Adjustment and Its Application in New Energy Vehicle Selection

Material Selection for a Biomass Heat Exchange Multicriteria Decision Methods: Study Case on Ecuador

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