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Nowadays the communities are facing the problem of waste and wastewater. While wastewater systems have become more complex, the need for development of sustainable solution for wastewater management emerged. Therefore, the development of a Decision Support System (DSS) for wastewater disposal management became necessary. This paper presents a new DSS for predicting the failure of wastewater pumping stations, the system architecture and its implementation. The prediction model is based on the Case Based Reasoning (CBR) classification method. The standard CBR classification technique has been upgraded with an algorithm for continuous learning. The paper describes the system structure, its connection to the wastewater system, the internal processes involved in the prediction process and the implemented algorithm for continuous learning. Furthermore, the features used in the prediction are indicated along with the achieved results and the method of results evaluation. The test and obtained results indicate that the proposed DSS is efficient and capable of providing very good results in the prediction process.

Nowadays, we are witnessing the rapid development of medicine and various methods that are used for early detection of diseases. In order to make quality decisions in diagnosis and prevention of disease, various decision support systems based on machine learning methods have been introduced in the medical domain. Such systems play an increasingly important role in medical practice. This paper presents a new web framework concept for disease prediction. The proposed framework is object-oriented and enables online prediction of various diseases. The framework enables online creation of different autonomous prediction models depending on the characteristics of diseases. Prediction process in the framework is based on a hybrid Case Based Reasoning classifier. The framework was evaluated on disease datasets from public repositories. Experimental evaluation shows that the proposed framework achieved high diagnosis accuracy.

Abstract-The purpose of this paper is to analyse Croatian national development strategy and Croatian local/regional development strategies. Upon defining the purpose we can define the main goal of this paper and which is creation of a tool based on funny logics which will give results on whether the chosen areas of analysed strategies are correspondent or not. For that purposes linguistic variables for areas of importance of national and regional development strategies have been defined with corresponding weight impact factors. Defined areas have been of various development priorities and have been sorted according to SWOT analysis components. Upon definition of variables and weight impact factors the analysis has been conducted.Index Terms-Development strategy, fuzzy TOPSIS, national strategy, k-means clustering. I. INTRODUCTIONTo start the story about the national and regional development strategies it is necessary to define personal development. We can say that development enriches the lives of individuals, reduces poverty, and improves well-fare, raises the quality of life in general. As it affects positively the individuals it also positively affects nations and regions. Given this definition of development, it is clear that a development strategy must be focused on transformation of society in identifying the barriers to, as well as potential catalysts for change 1 . When discussing a national level it is clear that the process of creation national and regional development strategy should be planned in details before adoption. National strategies, as well as local/regional strategies should include the component of sustainable development in every sector of an economy. Yet sustainable development touches many sensitive questions and values, therefore progress is somewhat slow 2.When states and local/regional authorities create development strategies they try to engage as many stakeholders as possible and during the process they create SWOT analysis. SWOT analysis is a marketing tool used in marketing planning but also in many other forms of planning 3. For the purposes of national SWOT analysis local stakeholder are engaged in the process of strategy Manuscript received November 5, 2013; revised January 17, 2014. B. Trstenjak is with the Dept. of Computer Engineering, Medjimurje University of Applied Sciences, Cakovec, Croatia (e-mail: btrstenjak@ mev.hr).A. K. Kavran and I. Bujan are with the Dept. of Management, Medjimurje University of Applied Sciences, Cakovec, Croatia (e-mail: akos@mev.hr, ibujan@mev.hr).development to contribute with their current issues, expectations and provide possible solutions. However, in some cases there is no correspondence between local/regional and national level. From the aforementioned arises the main goal of this paper, which is to create a tool with the help of fuzzy logics to discover to what extent are areas of Croatian national development strategy correspondent to the areas of local/regional development strategies in Croatia.The beginnings of fuzzy logics star...