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2023
DOI: 10.1155/2023/6268613
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Assessment of Solar Panel Using Multiattribute Decision-Making Approach Based on Intuitionistic Fuzzy Aczel Alsina Heronian Mean Operator

Abstract: Multiattribute decision-making (MADM) approach is an effective method for handling ambiguous information in a practical situation. The process of the MADM technique has drawn a lot of interest from various academic and selection processes of extensive analysis. The aggregation operators (AOs) are the best mathematical tools and received a lot of attention from researchers. This article explored the theory of intuitionistic fuzzy IF sets (IFSs) and their certain fundamental operations. The theory of triangular … Show more

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Cited by 25 publications
(6 citation statements)
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“…Hussain et al. ( 2023 ) employed the IF Aczel-Alsina Heronian mean operators for the evaluation of solar cells. Hussain et al.…”
Section: A Systematic Review Of Ifssmentioning
confidence: 99%
“…Hussain et al. ( 2023 ) employed the IF Aczel-Alsina Heronian mean operators for the evaluation of solar cells. Hussain et al.…”
Section: A Systematic Review Of Ifssmentioning
confidence: 99%
“…On the other hand, this study can be compared with other fuzzy ORESTE methods using sensitivity analysis. For example, [129] discussed different aggregating operators to assess the optimal solutions under the multi-attribute decision-making technique, specifically in handling uncertain and ambiguous information under the IF system. The authors studied triangular norms and their generalization in the form of robust aggregation tools using the Aczel Alsina operations.…”
Section: Limitations and Future Workmentioning
confidence: 99%
“…Büyüközkan and Göçer [3] proposed a MADM technique to choose a smart medical device to diagnose disease in human bodies. Hussain et al [4] appeared with an application through their proposed innovative IFAAWHM and IFAAWGHM operators and employed a robust MADM approach to address real-world challenges of solar panel systems. In most real-life cases, we make decisions in circumstances that involve ambiguous, uncertain, and complex information.…”
Section: Introductionmentioning
confidence: 99%