New opportunities and challenges for information representation and processing are brought about by the rapid development of artificial intelligence.This study offers a new decision-making method that decreases inform...New opportunities and challenges for information representation and processing are brought about by the rapid development of artificial intelligence.This study offers a new decision-making method that decreases information distortion and increases computational efficiency by fusing the nested probabilistic linguistic terms with the EDAS decision-making method approach.Firstly,we introduce the concept,property,and demonstration of the cosine similarity of nested probabilistic linguistic terms,which allows for a more precise measurement of the degree of departure between their content.Secondly,the attribute weights are generated using the normalised attribute information difference value approach,which is based on the premise that attributes with bigger differences in evaluation information are more significant.Furthermore,the proposed method is utilised to address a supplier selection issue related to the procurement of medical equipment.Ultimately,the method is proven to be feasible and superior by comparison assessments with other measuring methods and decision-making methods.展开更多
An improved fuzzy method is proposed to derive a fuzzy number for characterizing uncertain wind power.The input measurement data are firstly converted into nested sets,and the fuzzy number is further obtained based on...An improved fuzzy method is proposed to derive a fuzzy number for characterizing uncertain wind power.The input measurement data are firstly converted into nested sets,and the fuzzy number is further obtained based on nested set transformation method.Numerical studies have demonstrated the effectiveness and advantages of the improved fuzzy method.展开更多
基金supported by the National Natural Science Foundation of China under grant numbers 72101168,71571123China Postdoctoral Science Foundation under grant number 2021M692259.
文摘New opportunities and challenges for information representation and processing are brought about by the rapid development of artificial intelligence.This study offers a new decision-making method that decreases information distortion and increases computational efficiency by fusing the nested probabilistic linguistic terms with the EDAS decision-making method approach.Firstly,we introduce the concept,property,and demonstration of the cosine similarity of nested probabilistic linguistic terms,which allows for a more precise measurement of the degree of departure between their content.Secondly,the attribute weights are generated using the normalised attribute information difference value approach,which is based on the premise that attributes with bigger differences in evaluation information are more significant.Furthermore,the proposed method is utilised to address a supplier selection issue related to the procurement of medical equipment.Ultimately,the method is proven to be feasible and superior by comparison assessments with other measuring methods and decision-making methods.
基金supported by National Natural Science Foundation of China(No.51807127)。
文摘An improved fuzzy method is proposed to derive a fuzzy number for characterizing uncertain wind power.The input measurement data are firstly converted into nested sets,and the fuzzy number is further obtained based on nested set transformation method.Numerical studies have demonstrated the effectiveness and advantages of the improved fuzzy method.
