Vinh Gia Nhi Nguyen auteur aut IRD Drogoul Alexis auteur aut IRD Hiep Xuan Huynh auteur aut IRD text bookSection eng text/pdf born digital access 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 specialized RIZICULTURE MALADIE DES PLANTES SYSTEME EXPERT AIDE A LA DECISION MODELISATION VIET NAM MEKONG BASSIN 122INTAR 076MALPLA05 Al-Dabass D. ed. edt IRD Ibrahim Z. ed. edt IRD Nawawi S. ed. edt IRD Ghazali K. ed. edt IRD 88-93 Piscataway IEEE Computer Society 2012 CIMSim 2012 : International Conference on Computational Intelligence, Modelling and Simulation, 4., Kuantan (MYS), 2012/09/25-27 https://www.documentation.ird.fr/hor/fdi:010057706 10.1109/CIMSim.2012.21 978-0-7695-4871-5 [F B010057706] https://www.documentation.ird.fr/hor/fdi:010057706 https://www.documentation.ird.fr/intranet/publi/depot/2013-04-03/010057706.pdf Accès réservé (Intranet de l'IRD) IRD - Base Horizon / Pleins textes 2012-11-28 2023-02-28 fdi:010057706 fre