Pythagoras hesitant fuzzy number grey set transformation and its application in multi-attribute decision making
In solving multi-attribute decision-making problems,especially in case of Pythagorean Hesitation Fuzzy information,this study proposes a Gray Set Transformation Normalization method,by analyzing the im-pact of supplementary elements on decision-making;and this method effectively solves the problem that it is likely to introduce errors in Pythagorean Hesitant Fuzzy processing.Furthermore,this study proposes a Pythag-orean Hesitant Fuzzy Gray Set Conversion model,which applies to the cases where data is insufficient and in-formation is scarce;and the model significantly enhances the ability of processing uncertain information,as well as improves the model's adaptability and robustness in various uncertain circumstances.Through case a-nalysis and comparative verification,this study confirms the effectiveness and feasibility of the Pythagorean Hesitation Fuzzy Gray Set Conversion method in the practical decision-making process.
Pythagorean Hesitant Fuzzy SetGray Set Transformation NormalizationGray Set TransformationGray Relational AnalysisGray Possibility
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