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- W2059650389 abstract "Classical methods for Environmental Impact Significance Assessment are not efficient on handle heterogeneous information and they obtain numerical outputs of low interpretability. In this contribution we propose a novel heterogeneous approach for EISA based on fuzzy linguistic models. It provides a flexible evaluation framework in which experts can supply their preferences using different domains and applies an aggregation process based on 2-tuples linguistic computational model to obtain interpretable significance values." @default.
- W2059650389 created "2016-06-24" @default.
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- W2059650389 date "2013-07-01" @default.
- W2059650389 modified "2023-09-24" @default.
- W2059650389 title "A heterogeneous approach for environmental impact significance assessment based on fuzzy linguistic models" @default.
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- W2059650389 doi "https://doi.org/10.1109/icmlc.2013.6890872" @default.
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