Selection of phase change material for improved performance of Trombe wall systems using the entropy weight and TOPSIS methodology

Oluah, Chukwumaobi K.; Akinlabi, Esther T.; Njoku, Howard O.

doi:10.1016/j.enbuild.2020.109967

Cited by 90 publications

(43 citation statements)

References 39 publications

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“…TOPSIS was initially proposed by Hwang and Yoon in 1981 [37]. The fundamental principle of TOPSIS is that the best alternative should have the shortest Euclidean distance from the positive ideal solution, and the farthest distance from the negative ideal solution [38]. In our work, the optimal condition of volumetric influent step feeding of SBR was determined using TOPSIS.…”

Section: Entropy Weight Based Topsis Methodsmentioning

confidence: 99%

Optimization of the step feeding ratio for nitrogen removal by SBR using technique for order preference by similarity to ideal solution (TOPSIS)

Mang

Hwang

Lee

2021

Environmental Engineering Research

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The performance of nitrogen (N) removal was investigated by altering the influent step feeding in a sequencing batch reactor (SBR). The optimum condition for influent step feeding was analyzed using Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) with entropy weight method, considering the C/N ratio range 1.5 to 4.5. The results showed that the SBR with the multi-step-feeding system achieved a high nitrogen removal rate of 92.7% at the three-step influent feeding mode. Nitrogen removal was significantly improved due to the multi-step influent feeding, which provided the required carbon source in the anoxic phase for the removal of nitrate that enhanced the denitrification process. The highest nitrogen removal rate at real-time operation was observed at the three-step feeding mode with 60% primary feeding, 30% secondary feeding, and 10% tertiary feeding, respectively. TOPSIS analysis results also showed that the optimum step feeding ratio was identical to the real-time operation of the SBR.

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Section: Entropy Weight Based Topsis Methodsmentioning

confidence: 99%

Optimization of the step feeding ratio for nitrogen removal by SBR using technique for order preference by similarity to ideal solution (TOPSIS)

Mang

Hwang

Lee

2021

Environmental Engineering Research

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“…If the field experts have good evaluation experience, the obtained index weight values will be more accurate, but since the weight assignment is based on the experience of the experts, the method is relatively subjective to a certain extent [15][16][17][18]. On the other hand, the entropy weight method has good objectivity, but the values of the evaluation indexes are usually not that accurate, which will cause certain errors in the calculation results [19][20][21]. Therefore, this paper combined the two methods to obtain the weight values of the evaluation indexes of online learning effect from an overall perspective.…”

Section: Weight Assignment Of Evaluation Indexes Based On Entropy Weight Methods and Ahpmentioning

confidence: 99%

An Evaluation Model of the Online Learning Effect Based on Fuzzy Mathematics

Tao

2021

Int. J. Emerg. Technol. Learn.

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This study derived an evaluation model that overcomes the various problems in the evaluation of online learning effect. Firstly, the influencing factors in the online learning process were discussed in the paper, pointing out the direction to enhance the online learning effect. Next, a multidimensional evaluation index system was established for online learning effect. Meanwhile, the evaluation of online learning effect was treated as a fuzzy evaluation problem with multiple attributes, and an improved evaluation model for online learning effect was proposed based on fuzzy mathematics theory. The proposed model can evaluate the online learning effect effectively, and enjoy a good prospect of application.

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“…The essence of the Entropy method is to determine the uncertainty in information. It represents an objective method of determining weights and is defined as a measure of the degree of disorder of the system [49]. The entropy method is a typical diversity-based weighting method that calculates attribute weights based on the diversity of attribute data among alternatives and requires only objective data to calculate weights [50].…”

Section: Determination Of Criteria Weightsmentioning

confidence: 99%

Social, Economic and Environmental Sustainability of Port Regions: MCDM Approach in Composite Index Creation

Stanković

Marjanović

Papathanasiou

et al. 2021

JMSE

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Maritime transport and ports are among the most important linkages between global economies, handling more than 90% of internationally traded goods. Economic importance of maritime transport imposes significant implications on the social and environmental performance of port regions. The paper aims to create composite indices as relevant, scientific-based tools used in comparing and monitoring various aspects of sustainability across 37 sea port regions in seven countries on the European side of the Mediterranean, covering a five-year period from 2014 to 2018. The model encompasses Eurostat and OECD annual NUTS2 level data covering economic, social and environmental dimensions of sustainability. Two important indicators of maritime transport activity, maritime transport of freight and maritime transport of passengers, are included within the group of economic indicators. To create composite indices, the multicriteria decision making (MCDM) framework was used as an integrated approach of entropy in the weighting segment, and the Preference Ranking Organization METHod for Enrichment of Evaluations (PROMETHEE) as an aggregation method. The results highlight GDP per capita and population density as indicators of the greatest relative importance when it comes to port regions sustainability. The ranking results indicate that, despite the fact that Attica is the best ranked region in terms of overall sustainability, the largest number of top rated port regions are in Italy, Spain and France.

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Selection of phase change material for improved performance of Trombe wall systems using the entropy weight and TOPSIS methodology

Cited by 90 publications

References 39 publications

Optimization of the step feeding ratio for nitrogen removal by SBR using technique for order preference by similarity to ideal solution (TOPSIS)

Optimization of the step feeding ratio for nitrogen removal by SBR using technique for order preference by similarity to ideal solution (TOPSIS)

An Evaluation Model of the Online Learning Effect Based on Fuzzy Mathematics

Social, Economic and Environmental Sustainability of Port Regions: MCDM Approach in Composite Index Creation

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