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Picture Fuzzy Hypersoft Topsis Method Based on Correlation Coefficient |
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by V. Chinnadurai, A. Bobin |
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Considering today s complexity, we may have to deal with |
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numbers that are dependent, like those of positive, |
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neutral and negative values |
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and require multi- attributes function. Also, the most |
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significant factor is to |
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combine these numbers to generate a single real number. |
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When decision-makers |
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come across such an environment, the decisions are harder |
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to make and decision |
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makers cannot use the soft set theory, a single attribute |
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function. To overcome |
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this hindrance, we introduce the notion of picture fuzzy |
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hypersoft set with |
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technique of order of preference by similarity to ideal |
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solution (TOPSIS) |
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method. This eventually helps the decisionmaker to |
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collect the data without any |
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misconceptions. We present some properties of the |
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correlation coefficient and |
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aggregation operators on it. Also, we propose an |
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algorithm for the TOPSIS |
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method based on correlation coefficients to identify a |
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suitable leader, who can |
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bring changes to society in the socio-political context. |
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Finally, we present a |
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comparative study with existing studies to show the |
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effectiveness of the |
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proposed method. |
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Date Published: 2023-01-07 10:58:27 |
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Identifier: 34-picture-fuzzy |
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Item Size: 9995798 |
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Language: eng |
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Media Type: texts |
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# Topics |
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Picture fuzzy set |
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Hypersoft set |
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TOPSIS |
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Correlation coefficient |
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# Collections |
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new-types-of-soft-sets |
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journals_contributions |
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journals |
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# Uploaded by |
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@xypnios |
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