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As authors' best knowledge, it is the first study which considerers SCND model containing fuzzy decision variables.
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Thus, according to credibility theory, the spinning reserve constraint of the traditional scheduling model should be changed into chance constraints containing fuzzy variables.
The modeling of renewables output will make three constraints containing fuzzy variables, which are the supply demand balance constraint, the spinning reserve constraint, and the static security constraint.
The Fuzzy variables are involved in the description of certain situations, phenomenon, or process generally containing fuzzy qualifiers.
In the other fields the variables are handled as fuzzy numbers, for example (Fazlollahtabar et al. 2012) proposed a vehicle routing problem with fuzzy decisions and also (Kabak and Ülengin 2011) considered a mathematical model containing the resources allocation and outsourcing decisions which the two decision variables are considered to be fuzzy such as the input parameters.
(Kabak and Ülengin 2011) considered a mathematical model containing the resources allocation and outsourcing decisions which only two decision variables are considered to be fuzzy such as the input parameters.
In this model, as the prediction errors of renewables are characterized as fuzzy parameters, the related constraints correspondingly contain fuzzy variables which need to be tackled properly.
Fuzzy chance-constrained programming refers to a type of decision-making problem which contains fuzzy parameters.
The proposed ABC-IFC clustering model contains two parts: searching for the optimum cluster centers using ABC mechanism and forming clusters using intuitionistic fuzzy clustering (IFC) method.
Each new model contains huge technical risks.
The New York City model contains 32 variables.
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