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Assessing renewables-to- electricity systems: a fuzzy expert system model.
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Design of electricity tariff plans using gap statistic for K-means clustering based on consumers monthly electricity consumption data. Energy management techniques.
Towards a process of agenda setting driven by social media. An ideal and a negative-ideal solutions are formed. The ideal solution is formed as a composite of the best performance value exhibited by any alternative for each attribute and the negative-ideal solution is the composite of the worst performance values. The chosen alternative should be as close to the ideal solution as possible and as far from the negative-ideal solution as possible. In this chapter, the method is applied to the selection of a renewable project for electric generation.
To estimate the efficiency scores of companies, various methods have been developed during the past two decades. These methods are generally classified as parametric and non-parametric methods.
Multi Criteria Analysis in the Renewable Energy Industry | zopusalawyky.ga
In the parametric methods, a cost of production function is estimated, whereas in the non-parametric methods, it is not necessary to estimate the cost or production function. Utility theory has generally been used to develop a relationship between utility and costs incurred as a consequence of a particular decision. These kinds of criteria make the evaluation process hard and vague. To deal with vagueness of human thought Zadeh [ 1 ] first introduced the fuzzy set theory, which was oriented to the rationality of uncertainty due to imprecision or vagueness. A major contribution of fuzzy set theory is its capability of representing vague data.
In a classical set, an element belongs to, or does not belong to, a set whereas an element of a fuzzy set naturally belongs to the set with a membership value from the interval [0,1]. That is, the performance of alternative solutions can be determined only approximately and therefore is introduced into the calculations as a fuzzy number.