A Modern Strategy for the Selection of Efficacious Solar Panels at Industrial Level under an Interval-Valued Picture Fuzzy Set Hybrid Environment

Razzaque, Asima; Masmali, Ibtisam; Hassan, Rimsha; Shuaib, Umer; Razaq, Abdul; Alhamzi, Ghaliah; Noor, Saima

doi:10.3390/en16145338

Cited by 3 publications

(2 citation statements)

References 46 publications

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“…Factors such as temperature fluctuations, vehicle speed, load, and others, should be weighed in these evaluations. Additionally, adopting comprehensive evaluation methods like the interval-valued picture fuzzy set for selection [51] and multi-source fuzzy comprehensive evaluation [52] could enhance the depth and accuracy of decision-making processes.…”

Section: Discussionmentioning

confidence: 99%

Optimal Decision Making for Polymer-Modified Bitumen Mixture Based on Fuzzy Comprehensive Evaluation

Wang,

Qin,

Zou

et al. 2023

Applied Sciences

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With the increase in traffic load, the rutting problem of bitumen pavement appears more and more frequently, and the shear resistance of pavement has attracted more and more attention. A polymer-modified bituminous mixture is usually used to solve the problem of insufficient shear resistance in bitumen pavement. However, there are many polymer modifiers for bituminous mixture, which lead to different performances of the modified bituminous mixtures. Currently, the modification methods cannot obtain a bituminous mixture having all types of performance simultaneously. Therefore, considering the different performances and economics of modified bituminous mixtures, it is necessary to determine an optimal modification method for bitumen pavement. This study used a toll plaza in Jilin province, which is a seasonally frozen region. On this section of road, vehicles start and brake at high frequency, and the bitumen middle course suffers from large shearing forces. Therefore, permanent deformation is the main form of failure. In addition, low-temperature cracking of the bitumen pavement is also a very severe issue in this region. Four kinds of bituminous mixture modification schemes were selected and tested, and the pavement performance of these modified bituminous mixtures was evaluated. The fuzzy comprehensive evaluation method was used to quantitatively evaluate the performance level of bituminous mixtures according to fuzzy logic theory. Using the actual situation of the bituminous mixture used in the toll plaza, and based on the analytic hierarchy process method, the weight matrix of each service attribute was established. Here, the weight of each index was calculated by combining the entropy weight (EW) method, reducing the influence of subjective factors. According to the evaluation result of the fuzzy comprehensive evaluation model, it could be seen that the modified bituminous mixture (70#+M) had the best overall performance compared to the other bituminous mixtures.

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Section: Discussionmentioning

confidence: 99%

Optimal Decision Making for Polymer-Modified Bitumen Mixture Based on Fuzzy Comprehensive Evaluation

Wang,

Qin,

Zou

et al. 2023

Applied Sciences

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“…Similarly, it is evident that researchers justified the importance of reliability information to evaluate solar panel selection [26]. On the other hand, strategies are developed to select an efficient solar panel, and a comprehensive comparative analysis is presented [27].…”

Section: Introduction and Background Reviewmentioning

confidence: 99%

Solar Panel Cooling System Evaluation: Visual PROMETHEE Multi-Criteria Decision-Making Approach

Rehman

2023

Sustainability

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The energy sector is interested in sustainable solar power plants. It is obvious that the working temperature of solar panels, which is significantly higher than the specified working cell temperature in hot climes, has a significant impact on efficiency and longevity. The selection of solar panel cooling systems, on the other hand, is worrisome since the choice process incorporates ergonomic, technical, economic, and environmental issues. The goal of this research is to (1) present a multi-criteria decision-making approach that is both quantitative and qualitative in nature for selecting solar panel cooling systems; (2) outrank nine alternative solar panel cooling systems with eleven performance measures for each alternative to assist decision makers in determining the best viable choice; and (3) visualize the relationship between the different solar panel cooling systems and performance measures under consideration. The proposed approach is to compare and rank solar panel cooling systems, as well as their validation and evaluation through sensitivity analysis. When operating efficiency is prioritized, finned air cooling is shown to be the best solar panel cooling technique, whereas thermosiphon cooling is the best alternative when emission reduction criteria are prioritized. A comparison of the findings shows that phase change material cooling and forced convection cooling performed worst in almost all cases.

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Decision-making for solar panel selection using Sugeno-Weber triangular norm-based on q-rung orthopair fuzzy information

Wang,

Hussain,

Yin

et al. 2024

Front. Energy Res.

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Solar power is an alternative energy derived from the sun. Solar power is more environmentally friendly and sustainable than burning fossil fuels which releases harmful greenhouse gas emissions. Therefore, this study aims to evaluate a reliable solar panel based on certain characteristics by incorporating the theory of the decision-making process. To serve this goal, this study discusses a well-known aggregation model of the q-rung orthopair fuzzy set, which is a broader and flexible environment of fuzzy sets and intuitionistic fuzzy sets used to handle unpredictable information of human opinions. The key components of this article are to demonstrate some realistic operations of Sugeno–Weber triangular norms considering q-rung orthopair fuzzy information. These operations provide authentic estimated information during the decision-making process. We developed a class of new aggregation operators using the q-rung orthopair fuzzy information system, including q-rung orthopair fuzzy Sugeno–Weber power weighted average and q-rung orthopair fuzzy Sugeno–Weber power weighted geometric operators. Some realistic characteristics and special cases are also demonstrated to show the compatibility of the proposed methodologies. An innovative approach to the multi-attribute decision-making problem is utilized to resolve different real-life applications considering various criteria or attributes. To show the intensity and applicability of the proposed approaches, we explored a numerical example for efficient solar panel selection based on the proposed methodologies. Furthermore, we presented a comprehensive comparison technique to compare the findings of the existing methods with the proposed aggregation approaches. Finally, the proposed research work is summarized, and the future prospects are discussed.

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A Modern Strategy for the Selection of Efficacious Solar Panels at Industrial Level under an Interval-Valued Picture Fuzzy Set Hybrid Environment

Cited by 3 publications

References 46 publications

Optimal Decision Making for Polymer-Modified Bitumen Mixture Based on Fuzzy Comprehensive Evaluation

Optimal Decision Making for Polymer-Modified Bitumen Mixture Based on Fuzzy Comprehensive Evaluation

Solar Panel Cooling System Evaluation: Visual PROMETHEE Multi-Criteria Decision-Making Approach

Decision-making for solar panel selection using Sugeno-Weber triangular norm-based on q-rung orthopair fuzzy information

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