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Fuzzy constraint levels for probabilistic performance measures

หน่วยงาน Central Queensland University, Australia

รายละเอียด

ชื่อเรื่อง : Fuzzy constraint levels for probabilistic performance measures
นักวิจัย : Tickle, Kevin.
คำค้น : 770402 Land and water management. , 290802 Water and Sanitary Engineering. , TBA. , 960903 Coastal and Estuarine Water Management. , 9609 Land and Water Management. , 96 Environment. , 090509 Water Resources Engineering. , 0905 Civil Engineering. , 09 Engineering. , Markov processes. , Water-supply. , Reservoirs.
หน่วยงาน : Central Queensland University, Australia
ผู้ร่วมงาน : -
ปีพิมพ์ : 2547
อ้างอิง : http://hdl.cqu.edu.au/10018/15877 , cqu:2997
ที่มา : Tickle, K 2004, 'Fuzzy constraint levels for probabilistic performance measures', in Hydroinformatics: Proceedings of the 6th International Conference, Singapore, 21 – 24 June 2004, pp. 1522-1530.
ความเชี่ยวชาญ : -
ความสัมพันธ์ : Hydroinformatics: Proceedings of the 6th International Conference. Singapore. : World Scientific Publishing Co Pte Ltd, 2004. p. 1522-1530 9 pages Refereed 9812387870 , ACQUIRE [electronic resource] : Central Queensland University Institutional Repository.
ขอบเขตของเนื้อหา : -
บทคัดย่อ/คำอธิบาย :

Performance risk measures are often used in environmental decision making applications as a means to enhance the understanding of a system subject to stochastic inputs and demands. These risk measures are usually probabilistic random variables describing some performance measure of a system. These risk measures are incorporated into the decision making (and optimisation) by specifying required levels of attainment, for example system reliability of .95 or 95%. Typically the specified constraint level is a crisp number even though there is imprecision or uncertainty about what level should be specified and the relative importance of the metrics themselves. Allowing a linguistic rating of the importance and incorporating fuzzy constraints better encapsulates the imprecision associated with the decision making. This paper examines the effect of imposing a fuzzy specification on a probabilistic random variable in an optimisation problem. The example chosen is a Markov decision process with probabilistic constraints. The practical example follows from formulating the operation of a reservoir as a MDP with constraints on reliability, resilience and vulnerability. The specified levels of performance are then given an imprecise specification i.e. a fuzzy representation.

บรรณานุกรม :
Tickle, Kevin. . (2547). Fuzzy constraint levels for probabilistic performance measures.
    กรุงเทพมหานคร : Central Queensland University, Australia.
Tickle, Kevin. . 2547. "Fuzzy constraint levels for probabilistic performance measures".
    กรุงเทพมหานคร : Central Queensland University, Australia.
Tickle, Kevin. . "Fuzzy constraint levels for probabilistic performance measures."
    กรุงเทพมหานคร : Central Queensland University, Australia, 2547. Print.
Tickle, Kevin. . Fuzzy constraint levels for probabilistic performance measures. กรุงเทพมหานคร : Central Queensland University, Australia; 2547.