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A Model for an Intelligent Support Decision System in Aquaculture

Author

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  • Novac Ududec, Cornelia / C

Abstract

The paper purpose an intelligent software system agents–based to support decision in aquculture and the approach of fish diagnosis with informatics methods, techniques and solutions. A major purpose is to develop new methods and techniques for quick fish diagnosis, treatment and prophyilaxis at infectious and parasite-based known disorders, that may occur at fishes raised in high density in intensive raising systems. But, the goal of this paper is to presents a model of an intelligent agents-based diagnosis method will be developed for a support decision system.

Suggested Citation

  • Novac Ududec, Cornelia / C, 2009. "A Model for an Intelligent Support Decision System in Aquaculture," MPRA Paper 13065, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:13065
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    File URL: https://mpra.ub.uni-muenchen.de/13065/1/MPRA_paper_13065.pdf
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    References listed on IDEAS

    as
    1. Roos, Nico & Reije, A. ter & Bos, A. & Witteveen, C., 2001. "Multi Agent Diagnosis: an analysis," Research Memorandum 023, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    support decision system; diagnosis; multi-agent system; fish diseases;

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty

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