A linguistic fusion approach for heterogeneous Environmental Impact Significance Assessment
Type of publication: International Journal
Year of publication: 2016
Authors: Yeleny Zulueta
Director: David Rodríguez, Rafael Bello, Luis Martínez
Type: Applied Mathematical Modelling
Volumen: 40
Pagination: 1402-1417
ISSN number: 0307-904X
Abstract: Abstract Environmental Impact Significance Assessment (EISA) is usually modeled as a multi-criteria decision making process for determining the importance of projects impacts over involved environment, considering subjective judgments provided in a qualitative and/or quantitative way. Classical \EISA\ methods are not efficient in handling heterogeneous contexts since experts are forced to use numerical scales even for assessing subjective environmental indicators and they also obtain numerical outputs of low interpretability. In this paper is proposed a new approach for heterogeneous \EISA\ based on the linguistic 2-tuple fusion model for dealing with heterogeneous information. It provides a flexible evaluation framework in which experts can supply their preferences using different information domains conform to the nature and uncertainty of criteria as well as their level of knowledge and experience. Moreover the approach applies a multi-step aggregation process to obtain interpretable significance values without loss of information.
URL: http://www.sciencedirect.com/science/article/pii/S0307904X15004436
DOI: http://dx.doi.org/10.1016/j.apm.2015.07.016
Quartile:
Q1
Índice de impacto:
2.251