Research Article
A Model for Analysis of Environmental Accidents Based on Fuzzy Logic
@INPROCEEDINGS{10.1007/978-3-030-77417-2_23, author={Ana Claudia Golzio and Mirelys Puerta-D\^{\i}az}, title={A Model for Analysis of Environmental Accidents Based on Fuzzy Logic}, proceedings={Data and Information in Online Environments. Second EAI International Conference, DIONE 2021, Virtual Event, March 10--12, 2021, Proceedings}, proceedings_a={DIONE}, year={2021}, month={6}, keywords={Fuzzy Rules-Based System Corporate social responsibility Data mining}, doi={10.1007/978-3-030-77417-2_23} }- Ana Claudia Golzio
Mirelys Puerta-Díaz
Year: 2021
A Model for Analysis of Environmental Accidents Based on Fuzzy Logic
DIONE
Springer
DOI: 10.1007/978-3-030-77417-2_23
Abstract
This research aims to present a fuzzy-logic-based conceptual model for environmental accidents analysis , to reveal corporate social responsibility initiatives by companies responsible for the disasters. We studied one of the biggest environmental man-made disasters in history, the one that occurred on March 24, 1989 in Prince William Sound, Alaska when the oil tanker Exxon Valdez spilled 10.8 million gallons of American crude oil. The data was collected from the online database of the newspaper The New York Times for the timespan 03/24/1989–09/01/2017 . As a central point of the research, we investigate ethical issues based on the mapping of an ethical vocabulary carried out in the corpus of the analyzed documents. The results show that the proposed model can be replicated, after some adjustments, to verify actions in accordance with the principles of corporate social responsibility for other environmental accidents.
