An Evaluating Method with Combined Assigning-Weight Based on Maximizing Variance

Liu, Hongjiu; Hu, Yanrong

doi:10.1155/2015/290379

Cited by 16 publications

(8 citation statements)

References 31 publications

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“…The decision model developed using these subjective weight assignment methods produced inferior results compared to other models. Further, this may be because the opinions gathered from the experts are not consistent with the actual weights of the criteria [21]. The decision model developed using the objective weight assignment methods, such as CRITIC and SD, produced better results compared to the results of subjective weight assignment method.…”

Section: Discussionmentioning

confidence: 93%

“…Moreover, this is because the mathematical formula is applied to the dataset related to criteria, and the measurements are accurate [21]. However, when we compared these results with the ranking results of the decision model developed using the MIW method, the proposed method produced outstanding results.…”

Section: Discussionmentioning

confidence: 99%

“…The advantage of these subjective weight assignment methods is that it gives importance to the subjectivity of the criteria. The disadvantage of these subjective weight assignment methods is the accuracy of the weights assigned to the criteria depends upon the experience of experts working in that area, and sometimes, it may lead to random values [21].…”

Section: Introductionmentioning

confidence: 99%

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Realizing Sustainable Development via Modified Integrated Weighting MCDM Model for Ranking Agrarian Dataset

et al. 2019

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One of the crucial elements in decision-making is the calculation of criteria weights. In this paper, a new Modified Integrated Weighting (MIW) method was proposed to combine the weights obtained using different weight calculation methods into a single set of weights. The weights express the relative significance of the criteria and play an essential role in making correct decisions. The proposed method considered both subjective knowledge of the experts and the objectivity of the problem by combining the subjective and objective weight assignment methods. The proposed weight calculation method was applied to the agriculture dataset for the evaluation of groundnut crop sites. A decision-making model was developed via the proposed MIW method and Complex Proportional Assessment (COPRAS) method to rank the given groundnut crop site dataset. The ranking results of the developed decision model were compared with the ranking results of average yield data and other methods for validation purposes. The developed model exhibited better results for the given dataset and could be used to solve various other decision-making problems, thereby realizing sustainable development.

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Section: Discussionmentioning

confidence: 93%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Realizing Sustainable Development via Modified Integrated Weighting MCDM Model for Ranking Agrarian Dataset

et al. 2019

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“…The integrated procedures combine the advantages of both subjective and objective weights to suggest more precise weighing schemes. [33][34][35] Numerous pieces of literature are available dealing with applications of different decision-making techniques for material selection. Peng and Xiao 36 used the PRO-METHEE approach integrated with the analytical network process (ANP) to select the appropriate material for journal-bearing design.…”

Section: Introductionmentioning

confidence: 99%

“…However, the associated mutability leads to significant subjective randomness. The integrated procedures combine the advantages of both subjective and objective weights to suggest more precise weighing schemes 33‐35 …”

Section: Introductionmentioning

confidence: 99%

Selection of nanoparticles for battery thermal management system using integrated multiple criteria decision‐making approach

Dwivedi

Kumar

Goel

2022

Intl J of Energy Research

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Summary The selection of suitable nanoparticles is an important task for their applications as heat transfer promoters for the mitigation of thermal issues in energy storage systems. This paper aims to present a systematic framework for the selection of nanoparticles based on multiple attribute decision‐making tools. A hybrid Grey relational analysis‐based technique for order preference by similarity to ideal solution (GRA‐TOPSIS) approach combining the advantages of both GRA and TOPSIS methodologies is proposed and opted for evaluation, comparison, and ranking of different alternatives under the influence of several objective and subjective criteria weights. The criteria importance through inter‐criteria correlation (CRITIC) and entropy weighing methods are employed to determine the objective weights, while the subjective weights are calculated using the analytic hierarchy process (AHP). Also, an attempt is made to present a generalized weight integration formula that combines several objective and subjective weights of attributes. The results demonstrate Al2O3 nanoparticles as the most acceptable alternative. The sensitivity analysis performed proves the robustness and feasibility of the adopted decision framework. Additionally, the rank reversal issue is also addressed to present the qualitative assessment of estimated results. Thus, the evaluation methodology discussed in this paper seems to provide a theoretical reference strategy for nanoparticle selection in heat transfer enhancement applications. Highlights A novel integrated multiple criteria decision making scheme for nanoparticle selection is presented An attempt is made to present a generalized weight integration formula combining several objective and subjective weights of attributes Thermal conductivity and specific surface area are reported as the most significant attributes. Al2O3 is highlighted as the best choice. The sensitivity analysis and rank‐reversal test have also been performed to check the robustness of suggested procedures and Al2O3 has outperformed all other alternatives under consideration.

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A Composite Urban Blight Identification and Evaluation Index (CUBIE): A Systems-Driven Approach Based on Empirical Evidence from Kolkata, India

Chakraborty,

Dey

2024

Soc Indic Res

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An Evaluating Method with Combined Assigning-Weight Based on Maximizing Variance

Cited by 16 publications

References 31 publications

Realizing Sustainable Development via Modified Integrated Weighting MCDM Model for Ranking Agrarian Dataset

Realizing Sustainable Development via Modified Integrated Weighting MCDM Model for Ranking Agrarian Dataset

Selection of nanoparticles for battery thermal management system using integrated multiple criteria decision‐making approach

A Composite Urban Blight Identification and Evaluation Index (CUBIE): A Systems-Driven Approach Based on Empirical Evidence from Kolkata, India

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