• DocumentCode
    3118368
  • Title

    A fuzzy concept for climate management in preventive conservation: An approach to define and manage climate setpoints using fuzzy decision making

  • Author

    Arnold, Christian ; Lambeck, Steven ; Ament, Christoph

  • Author_Institution
    Dept. of Electr. Eng. & Inf. Technol., Univ. of Appl. Sci. Fulda, Fulda, Germany
  • fYear
    2011
  • fDate
    27-30 June 2011
  • Firstpage
    2656
  • Lastpage
    2663
  • Abstract
    Especially for air conditioning tasks with applications in the area of preventive conservation, requirements can only be described by using vague and incomplete information. In this field of application a fuzzy formulation, which considers stationary, dynamical and economy demands of climate values, turned out to be appropriate. The presented paper describes an unifying approach of formulating fuzzy setpoints as well as using fuzzy decision making, in order to develop a automated climate management system for the best possible preventive conservation.
  • Keywords
    air conditioning; climate mitigation; decision making; environmental economics; fuzzy set theory; air conditioning tasks; automated climate management system; climate management; climate setpoint management; climate values; dynamical demands; economy demands; fuzzy decision making; fuzzy setpoint formulation; preventive conservation; stationary demands; Air conditioning; Decision making; Equations; Humidity; Materials; Process control; fuzzy decision making; preventive conservation; process management system; setpoint optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4244-7315-1
  • Electronic_ISBN
    1098-7584
  • Type

    conf

  • DOI
    10.1109/FUZZY.2011.6007408
  • Filename
    6007408