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
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;
Conference_Titel :
Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-7315-1
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2011.6007408