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  • The Application of Decision Making Models in Sustainable Management of Environmental Systems

    Author(s)
    Shobeirinejad, Ameneh
    Bernus, Peter
    Trevathan, Jarrod
    Griffith University Author(s)
    Bernus, Peter
    Trevathan, Jarrod
    Year published
    2016
    Metadata
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    Abstract
    Recent research has highlighted environmental sustainability as a key issue of concern affecting the future of human wellbeing. To pursue a sustainable future of a system, it is a critical challenge to make decisions at all levels of management. Decision making for controlling or steering a system requires models of the system that represent the determining characteristics of the system and have sufficient predictive power. Practitioners/researchers of environmental management use a large variety of (types of) models to support decision making, and it has become a complex task to select the appropriate model-type for a desired ...
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    Recent research has highlighted environmental sustainability as a key issue of concern affecting the future of human wellbeing. To pursue a sustainable future of a system, it is a critical challenge to make decisions at all levels of management. Decision making for controlling or steering a system requires models of the system that represent the determining characteristics of the system and have sufficient predictive power. Practitioners/researchers of environmental management use a large variety of (types of) models to support decision making, and it has become a complex task to select the appropriate model-type for a desired management goal. This paper considers the most common types of models and uses the mathematical properties of these model types to discuss the pros and cons of their use in environmental management / decision making. We explore how these mathematical properties influence the feasibility, viability and validity of the use of such models.
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    Journal Title
    Journal of Statistics & Management Systems
    Volume
    19
    Issue
    4
    DOI
    https://doi.org/10.1080/09720510.2015.1047571
    Subject
    Environmental management
    Statistics
    Publication URI
    http://hdl.handle.net/10072/100449
    Collection
    • Journal articles

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