Vinh Gia Nhi Nguyen, Drogoul Alexis, Hiep Xuan Huynh. (2012). Designing multi-criteria decision making agents in agent-based model for rice pest risk management. In :
Al-Dabass D. (ed.), Ibrahim Z. (ed.), Nawawi S. (ed.), Ghazali K. (ed.). CIMSim 2012 : 4th international conference on computational intelligence, modelling and simulation : proceedings. Piscataway : IEEE Computer Society, 88-93. CIMSim 2012 : International Conference on Computational Intelligence, Modelling and Simulation, 4., Kuantan (MYS), 2012/09/25-27. ISBN 978-0-7695-4871-5.
Titre du document
Designing multi-criteria decision making agents in agent-based model for rice pest risk management
Année de publication
2012
Type de document
Partie d'ouvrage
Auteurs
Vinh Gia Nhi Nguyen, Drogoul Alexis, Hiep Xuan Huynh
In
Al-Dabass D. (ed.), Ibrahim Z. (ed.), Nawawi S. (ed.), Ghazali K. (ed.) CIMSim 2012 : 4th international conference on computational intelligence, modelling and simulation : proceedings
Source
Piscataway : IEEE Computer Society, 2012,
88-93 ISBN 978-0-7695-4871-5
Colloque
CIMSim 2012 : International Conference on Computational Intelligence, Modelling and Simulation, 4., Kuantan (MYS), 2012/09/25-27
Studies in predicting rice pest outbreaks use regression models to explore relationships between rice pest population density and environmental factors. Agent-based models provide a flexible assessment framework to help stakeholders in planning rice pest management strategies. This paper proposes a general method to determine rice pest risk index and design a structure of agents that have an ability of aggregating information from other agents in agent-based models, OWA-based method is experimented on multi-criteria decision making agents to determine rice pest risk index of each rice area. A case study is carried out on risk assessment of brown plant hopper in the Mekong Delta region, simulation results in this study show that rice pest risk index aggregated from criteria and agent-based approach are useful tools to support stakeholders in rice pest management
Plan de classement
Etudes épidémiologiques, modélisation [076MALPLA05]
;
Intelligence artificielle [122INTAR]
Descripteurs
RIZICULTURE ; MALADIE DES PLANTES ; SYSTEME EXPERT ; AIDE A LA DECISION ; MODELISATION
Description Géographique
VIET NAM ; MEKONG BASSIN
Localisation
Fonds IRD [F B010057706]
Identifiant IRD
fdi:010057706
