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Authors: Marina V. Sokolova 1 and Antonio Fernández-Caballero 2

Affiliations: 1 Universidad de Castilla-La Mancha; Kursk State Technical University, Russian Federation ; 2 Universidad de Castilla-La Mancha, Spain

ISBN: 978-972-8865-89-4

Keyword(s): Environmental impact, Multi-agent system, Data fusion, Data handling, Conceptual hierarchy, Decision support system.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Biomedical Engineering ; Business Analytics ; Data Engineering ; Data Mining ; Databases and Information Systems Integration ; Datamining ; Enterprise Information Systems ; Health Information Systems ; Intelligent Agents ; Internet Technology ; Sensor Networks ; Signal Processing ; Soft Computing ; Strategic Decision Support Systems ; Web Information Systems and Technologies

Abstract: The paper introduces an approach to creating a multi-agent architecture for environmental impact assessment upon human health. As the indicators of the environmental impact we assume water pollution, indexes of traffic and industrial activity, wastes and solar radiation; and as the human health indicator we take morbidity. All the data comprise multiple heterogeneous data repositories. The general structure of the architecture is represented. Thus, the proposed system is logically and functionally divided into three layers, solving the tasks of information fusion, pattern discovery through data mining, and decision support making, respectively, which are discussed. The discovered patterns will be used as a foundation for real-time decision making, which should be of great importance for adequate and effective management by responsible municipal and state government authorities.

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Paper citation in several formats:
V. Sokolova M.; Fernández-Caballero A. and (2007). A MULTI-AGENT ARCHITECTURE FOR ENVIRONMENTAL IMPACT ASSESSMENT - Information Fusion, Data Mining and Decision Making.In Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-972-8865-89-4, pages 219-224. DOI: 10.5220/0002346802190224

@conference{iceis07,
author={Marina {V. Sokolova} and Antonio Fernández{-}Caballero},
title={A MULTI-AGENT ARCHITECTURE FOR ENVIRONMENTAL IMPACT ASSESSMENT - Information Fusion, Data Mining and Decision Making},
booktitle={Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2007},
pages={219-224},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002346802190224},
isbn={978-972-8865-89-4},
}

TY - CONF

JO - Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - A MULTI-AGENT ARCHITECTURE FOR ENVIRONMENTAL IMPACT ASSESSMENT - Information Fusion, Data Mining and Decision Making
SN - 978-972-8865-89-4
AU - V. Sokolova, M.
AU - Fernández-Caballero, A.
PY - 2007
SP - 219
EP - 224
DO - 10.5220/0002346802190224

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