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- W2355243080 abstract "A fuzzy weighted least squares programming model was proposed for aggregating multi-granularity linguistic judgments based on the principle of least squares. In the model,the confidence levels of experts are provided as the weights of the model calculation.The weighted sum of distance squares between the final result and each judgment is used as the optimizing objective.The change ranges of jugements are employed as the constraints of the model.Contrasted to the linear distance programming model,the model can be applicable for the aggregating of multi-granularity linguistic informations and make the final group judgment as close to each individual judgment as possible.The comparson of the results demonstrates the model can decrease the subjectivity,calculating complexity and remaining error in the decision process.The effectiveness and practicability of the proposed model were illustrated and demonstrated in a real-world application of product design altenrative selection for horizontal directional drilling machine." @default.
- W2355243080 created "2016-06-24" @default.
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- W2355243080 date "2009-01-01" @default.
- W2355243080 modified "2023-09-24" @default.
- W2355243080 title "Aggregating Multi-granularity Decision Making Information Based on Fuzzy Weighted Least Squares Method" @default.
- W2355243080 hasPublicationYear "2009" @default.
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