@incollection{fdi:010057706,
  title = {{D}esigning multi-criteria decision making agents in agent-based model for rice pest risk management},
  author = {{V}inh {G}ia {N}hi {N}guyen and {D}rogoul, {A}lexis and {H}iep {X}uan {H}uynh},
  editor = {},
  language = {{ENG}},
  abstract = {{S}tudies in predicting rice pest outbreaks use regression models to explore relationships between rice pest population density and environmental factors. {A}gent-based models provide a flexible assessment framework to help stakeholders in planning rice pest management strategies. {T}his 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 {M}ekong {D}elta 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},
  keywords = {{RIZICULTURE} ; {MALADIE} {DES} {PLANTES} ; {SYSTEME} {EXPERT} ; {AIDE} {A} {LA} {DECISION} ; {MODELISATION} ; {VIET} {NAM} ; {MEKONG} {BASSIN}},
  booktitle = {{CIMS}im 2012 : 4th international conference on computational intelligence, modelling and simulation : proceedings},
  numero = {},
  pages = {88--93},
  address = {{P}iscataway},
  publisher = {{IEEE} {C}omputer {S}ociety},
  series = {},
  year = {2012},
  DOI = {10.1109/{CIMS}im.2012.21},
  ISBN = {978-0-7695-4871-5},
  URL = {https://www.documentation.ird.fr/hor/fdi:010057706},
}