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- W2388697744 abstract "Normalization of attribute values is the first step in fuzzy multi-attribute decision making(FMADM).The widely used normalization methods expounded in existing literatures only fit to treat attribute values that belong to the types with the higher-the-better characteristics or lower-the-better characteristics.Based on the analysis of features of 6 attribute types,this paper analyses the connections between any two attribute types,and presents a new normalization method,which fits to process any attribute types,whether their value with exact or interval numbers.The properties of this normalization method are elaborated by comparing it with other methods.Besides,the method is also simpler in calculation.Finally,this method is applied to selecting green materials in green design and manufacturing." @default.
- W2388697744 created "2016-06-24" @default.
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- W2388697744 date "2011-01-01" @default.
- W2388697744 modified "2023-09-24" @default.
- W2388697744 title "Normalization Methods for Attribute Values in Fuzzy Multi-attribute Decision Making With Interval Numbers" @default.
- W2388697744 hasPublicationYear "2011" @default.
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