The problem of sparse fuzzy rule bases is introduced. Because of the high computational complexity of the original compositional rule of inference (CRI) method, it is strongly suggested that the number of rules in a final fuzzy knowledge base is drastically reduced. Various methods of analogical reasoning available in the literature are reviewed. The mapping style interpretation of fuzzy rules ...

This paper demonstrates the use of dynamic fuzzy-reasoning-based function estimator (DFFE) to interpolate rainfall data in a case study in Switzerland. The functional parameters are also optimized by genetic algorithms (GA). The procedure operates on a series of overlapping partition surfaces around the study area based on expert knowledge and interpretive judgment. The procedure allows for spa...

Studying on the spatial distribution and variation characteristics of soil fertility by Application of geographical information systems (GIS) and data mining(DM), with the quantitative analysis of spatial variability of soil fertility in complexity, and provide the effective way for simulations which can be closer to the farmland soil fertility variability. At the same time, interpolation metho...

In Image upscaling, a higher resolution image is processed from an available low resolution image. There are numerous scenarios and applications where image upscaling is required and performed. The paper proposes a simple image scaling algorithm and implements it with a fuzzy variant of the supervised ART neural network, ARTMAP. The method has been compared with nearest neighbor interpolation, ...

In time series prediction, historical data are used as the basis of estimating future outcomes. Many methods including statistical predictive models and artificial intelligence (AI) based models have been proposed for time series prediction. When dealing with limited information, researchers tend to seek for AI-based approaches as statistical models require large samples to determine the underl...

Interlaced-to-progressive algorithms are currently required by video format conversion systems in order to display a progressive scanning used in modern visualization equipments. Deinterlacing algorithms use interpolation techniques to calculate missing pixels in transmitted fields. A motion adaptive algorithm which employs fuzzy logic to adapt the interpolation strategy to the presence of moti...

V. Torra in [8] presents an algorithm for constructing Weighted OWA operators [7] using interpolation (De9nition 1 in [8]). His method relies on the construction of a monotone increasing functionW (x) that interpolates the points (i=n; ∑ j6i wj) together with the origin, where the weights wj denote relative importance or reliability of information sources. In addition to being monotone, the fun...

We examine the properties of function approximation using polynomial rules in a fuzzy system. We show that this kind of fuzzy function approximation is equivalent to Lagrange polynomial interpolation between turning points when normalized fuzzy function memberships are used. The fuzzy inference procedure combines two polynomials of degree n and m in x into one single polynomial of at most degre...

Attitude sensors are used in spacecrafts for measurement and control of its attitude to meet the mission goals. Sensors using the sun for attitude determination are very effective and often applied. The calibration of the sensor gives an important impetus to improve the quality. Calibration helps to reduce systematic errors of the measurement method, of tolerances of the used components due to ...

Functional laws may be known only at a finite number of points, and then the function is completed by interpolation techniques obeying some smoothness conditions. We rather propose here to specify constraints by means of gradual rules for delimiting areas where the function may lie between known points. The more general case where the known points of the function are imprecisely located is also...