Modelling multi-criteria decision making ability of agents in agent-based rice pest risk assessment model

Authors:
Vinh Gia Nhi Nguyen;Hiep Xuan Huynh;Alexis Drogoul
Affiliations:
Institut de recherche pour le développement, UMI 209 UMMISCO, IRD/UPMC, Bondy, France;DREAM Team, School of Information and Communication Technology, Cantho University, Vietnam;Institut de recherche pour le développement, UMI 209 UMMISCO, IRD/UPMC, Bondy, France
Venue:
AMT'12 Proceedings of the 8th international conference on Active Media Technology
Year:
2012

Citing 7
Cited 0

On ordered weighted averaging aggregation operators in multicriteria decisionmaking

IEEE Transactions on Systems, Man and Cybernetics
Families of OWA operators

Fuzzy Sets and Systems
Multi-agent based simulation: where are the agents?

MABS'02 Proceedings of the 3rd international conference on Multi-agent-based simulation II
Modeling the brown plant hoppers surveillance network using agent-based model: application for the Mekong Delta region

Proceedings of the Second Symposium on Information and Communication Technology
On weather affecting to brown plant hopper invasion using an agent-based model

Proceedings of the International Conference on Management of Emergent Digital EcoSystems
Assessing rice area infested by brown plant hopper using agent-based and dynamically upscaling approach

ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part I
Upscaling and Assessing Information of Agriculture Indicators in Agent-Based Assessment Model from Field to Region Scale

KSE '12 Proceedings of the 2012 Fourth International Conference on Knowledge and Systems Engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper aims to introduce an agent-based multi-criteria assessment model that support stakeholders to make multi-criteria decisions for rice pest management, this study designs agents with dynamic ability of multi-criteria decision making from information of other agents so that rice pest risk maps are built. A case study is carried out on risk assessment of brown plant hoppers in the Mekong Delta region, simulation results show that rice pest risk index aggregated from criteria and agent-based models are useful tools to support rice pest management.