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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
