A fuzzy dynamic programming approach for evaluation of expansion distribution cost in uncertainty environments

dc.contributor.author	Vladimiro Miranda	en
dc.contributor.author	Gustavo Schweickardt	en
dc.date.accessioned	2017-11-16T12:30:22Z
dc.date.available	2017-11-16T12:30:22Z
dc.date.issued	2007	en
dc.description.abstract	This paper presents a new Fuzzy Dynamic Programming model that calculates the optimum solution of problems with uncertainties in data defined by fuzzy sets. The result includes the determination of an Intrinsic Risk Threshold of the solution. Extrinsic Risk Thresholds may also be set by a Decision Maker, in order to obtain more robust solutions. The technique is applied to the calculation of Distribution System expansion costs to serve the objectives of a Regulatory Authority (Regulator) in fixing levels of efficiency, targets and penalties to a regulated market.	en
dc.identifier.uri	http://repositorio.inesctec.pt/handle/123456789/1545
dc.language	eng	en
dc.relation	208	en
dc.rights	info:eu-repo/semantics/openAccess	en
dc.title	A fuzzy dynamic programming approach for evaluation of expansion distribution cost in uncertainty environments	en
dc.type	article	en
dc.type	Publication	en