Fuzzy sets, uncertainty, and information
Fuzzy sets, uncertainty, and information
Pattern Discovery of Fuzzy Time Series for Financial Prediction
IEEE Transactions on Knowledge and Data Engineering
Forecasting airborne pollen concentration time series with neural and neuro-fuzzy models
Expert Systems with Applications: An International Journal
Fuzzy model validation using the local statistical approach
Fuzzy Sets and Systems
Visualization of multidimensional data in explorative forecast
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
Fuzzy numbers from raw discrete data using linear regression
Information Sciences: an International Journal
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In general in the literature practitioners transform of real numbers into fuzzy numbers to the median or average, so they follow the probabilistic path. However, theoreticians do not investigate transformations of real numbers into fuzzy numbers when they analyse fuzzy numbers. They usually operate only on the fuzzy data. In the paper we describe an algorithm for transforming a sequence of real numbers into a fuzzy number. The algorithms presented are used to transform multi-dimensional matrices constructed from times series into fuzzy matrices. They were created for a special fuzzy number and using it as an example we show how to proceed. The algorithms were used in one of the stages of a model used to forecast pollution concentrations with the help of fuzzy numbers. The data used in the computations came from the Institute of Meteorology and Water Management (IMGW).