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A Model for an Intelligent Support Decision System in Aquaculture

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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. ,, 2000. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 16(2), pages 287-299, April.
    2. 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)

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    More about this item

    Keywords

    support decision system; diagnosis; multi-agent system; fish diseases;
    All these keywords.

    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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