A fuzzy decision system for genetically modified plant environmental risk assessment using Mamdani inference

•A fuzzy system for environmental risk assessment of genetically modified plants is described.•The fuzzy system is based on Mamdani inference.•The Fuzzy System Risk Assessments have been validated on real world trial case studies.•The system decisions have been considered coherent and consistent by...

Full description

Saved in:
Bibliographic Details
Published in:Expert systems with applications 2015-02, Vol.42 (3), p.1710-1716
Main Authors: Camastra, Francesco, Ciaramella, Angelo, Giovannelli, Valeria, Lener, Matteo, Rastelli, Valentina, Staiano, Antonino, Staiano, Giovanni, Starace, Alfredo
Format: Article
Language:English
Subjects:
Agronomy. Soil science and plant productions
Applied sciences
Artificial intelligence
Biological and medical sciences
Computer science
control theory
systems
Ecological risk assessment
Environment. Living conditions
Exact sciences and technology
Expert systems
Fundamental and applied biological sciences. Psychology
Fuzzy
Fuzzy Control Language
Fuzzy decision system
Genetic modification
Genetically modified plants
Genetics and breeding of economic plants
Human performance
Inference
Mamdani fuzzy inference
Medical sciences
Migration
Public health. Hygiene
Public health. Hygiene-occupational medicine
Risk assessment
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:•A fuzzy system for environmental risk assessment of genetically modified plants is described.•The fuzzy system is based on Mamdani inference.•The Fuzzy System Risk Assessments have been validated on real world trial case studies.•The system decisions have been considered coherent and consistent by human experts. Environmental risk assessment (ERA) of the deliberate release of genetically modified plants (GMPs) is currently performed by human experts on the basis of own personal experience and knowledge. In this paper we describe a fuzzy decision system (FDS) for the ERA of GMPs, based on Mamdani fuzzy inference. The risk assessment in the FDS is obtained by using a fuzzy inference system (FIS), performed using jFuzzyLogic library. The FDS permits obtaining an evaluation process for the identification of potential impacts that can achieve one or more receptors through a set of migration paths. The decisions derived by FDS have been validated on real world cases by the human experts that are in charge of ERA. They have confirmed the reliability and correctness of the fuzzy system decisions.
ISSN:0957-4174
1873-6793
DOI:10.1016/j.eswa.2014.09.041