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

被引：69
|
作者：
Camastra, Francesco [1 ]
Ciaramella, Angelo [1 ]
Giovannelli, Valeria [2 ]
Lener, Matteo [2 ]
Rastelli, Valentina [2 ]
Staiano, Antonino [1 ]
Staiano, Giovanni [2 ]
Starace, Alfredo [3 ]
机构：
[1] Univ Naples Parthenope, Dept Sci & Technol, I-80143 Naples, Italy
[2] Inst Environm Protect & Res ISPRA, Nat Protect Dept, I-00144 Rome, Italy
[3] Oracle Ireland Ltd, Dublin 3, Ireland
来源：
EXPERT SYSTEMS WITH APPLICATIONS | 2015年 / 42卷 / 03期
关键词：
Fuzzy decision system; Mamdani fuzzy inference; Risk assessment; Genetically modified plants; Fuzzy Control Language; EVIDENTIAL REASONING APPROACH; EXPERT-SYSTEM; METHODOLOGY; MODEL; HAZARDS;
D O I：
10.1016/j.eswa.2014.09.041
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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 RuzzyLogic 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. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码：1710 / 1716
页数：7
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