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In view of the current and predictable energy shortage and environmental concerns, the exploitation of renewable energy sources offers great potential to meet increasing energy demands and to decrease dependence on fossil fuels. However, introducing these sources will be more attractive provided they operate in conjunction with energy storage systems (ESS). Furthermore, effective energy storage management is essential to achieve a balance between power quality, efficiency, costs and environmental constraints. This paper presents a method based on the analytic hierarchy process and fuzzy multi-rules and multi-sets. By exploiting a multiple criteria analysis, the proposed methods evaluate the operation of storage energy systems such as: pumped hydro and compressed air energy storage, H 2 , flywheel, super-capacitors and lithium-ion storage as well as NaS advanced batteries and VRB flow battery. The main objective of the study is to find the most appropriate ESS consistent with a power quality priority. Several parameters are used for the investigation: efficiency, load management, technical maturity, costs, environmental impact and power quality.

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. The concept of Model is an analytical structure which studies the relationships among a number of variables. It is composed by hypotheses which are the foundation for the extraction of implications and predictions. To be useful, the model has to present a simplified and abstract version of the reality 6 . On a study 5 , a Fuzzy Linguistic Model was developed in order to classify the severity level of the phonological disorders regarding quantity. The theoretical foundation was based on the Features Complexity Implicational Model (FCIM) 7,8 . The mathematical models, as the one from this study 5 , are built from a well-known and widely studied mathematical theory. When it is efficient, the model allows researchers to elaborate predictions, ABSTRACT Purpose: to check if the criteria adopted from the Fuzzy Linguistic Model to classify the severity of Phonological Disorder (PD) are employed in the practice of speech and language therapists and whether they are in conformity with the purpose of such model. It is furthermore intended to analyze the acquiescence between PD severity classified by the Model and the one deemed by speech and language therapists and check the main difficulties. Method: the study included two samples. The first one was comprised of a representative number of deviating phonological systems (n=52) and classified by the Model when it was proposed. The second one comprised two groups of speech and language therapists GF-I and GF-II. The speech and language therapists were asked to deem the severity of deviating in phonological systems, mapped in the Implicational Model of Feature Complexity -MICT as Severe, Moderate-Severe, Moderate-Mild, and Mild. Next, criteria and main difficulties were described in a questionnaire. Kappa statistics was used, with a significance level of p<0.05. Results: the criteria used in the proposal were generally used by GF-I and considered as adequate by GF-II. There was an acquiescence between classification of severity obtained by the Model and the one deemed by the speech and language therapists. The most frequently reported difficulty was distinguishing between intermediate degrees. Conclusions: the Fuzzy Linguistic Model criteria are used to classify PD severity when based on MICT. Furthermore, the criteria are in acquiescence with the purpose of the Model. Due to the difficulties, other forms of classifying severity can be added in order to characterize PD over other major aspects.

Este artigo apresenta uma metodologia para tomada de decisão multicriterial que visa à seleção de sistemas renováveis de energia considerando as características fundamentais de operação e aplicação destes sistemas. Esta metodologia toma como base o método Analytic Hierarchy Process (AHP) e a lógica fuzzy com intuito de avaliar os principais sistemas de geração distribuída que podem fazer uso de fontes primárias renováveis, tais como: painéis fotovoltaicos, aerogeradores, microturbinas e células de combustível com uso de biogás. Para avaliação destas fontes consideram-se os seguintes critérios: eficiência, custos, maturidade tecnológica, impactos ambientais, amplitude de atuação do sistema e vida útil. Por fim é apresentada uma classificação em ordem de prioridade para o uso das fontes de geração comparando resultados provenientes da aplicação do método AHP e da lógica fuzzy para os cenários custos e meio ambiente.