Fuzzy systems are currently being used in a wide field of industrial and scientific applications. Since the design and especially the optimization process of fuzzy systems can be very time consuming, it is convenient to have algorithms which construct and optimize them automatically. One popular approach is to combine fuzzy systems with learning techniques derived from neural networks. Such app...

Neuro-fuzzy computing, which provides efficient information processing capability by devising methodologies and algorithms for modeling uncertainty and imprecise information, forms at this juncture, a key component of soft computing. An integrated neuro-fuzzy system is simply a fuzzy inference system trained by a neural networklearning algorithm. The learning mechanism fine-tunes the underlying...

In this paper, we propose a technique to design Fuzzy Inference Systems (FIS) of Mamdani type with transparency constraints. The technique is based on our Crisp Double Clustering algorithm, which is able to discover transparent fuzzy relations that can be directly translated into a human understandable rule base. As a key feature, the user can tune the granularity level of the rule base so as t...

This paper describes the VHDL modeling of temperature controller based on fuzzy logic intended for industrial application. The system is built of four major modules called fuzzification, inference, implication and defuzzification. The composition method selected for the fuzzy model is the Max-Min composition while the Mamdani Min operator was chosen as the implication method. Each module is mod...

The investigations for diagnosis and severity of OSA in Thai population need RDI from the PSG in sleep laboratory. The current problems of Thailand are firstly, inadequate sleep specialist and experienced technician: secondly, inadequate sleep laboratory result in long queue of appointments for sleep study. The authors proposed the new application for solving problem and developing to prioritiz...

The prediction of weather changes, such as rainfall, clouds, floods, and storms, is critical in forecasting. There are several sources input data for this purpose, including radar observational data, but satellite remote sensing images the most commonly used due to their ease collection. In paper, we present a novel method nowcasting based on Mamdani complex fuzzy inference with multiple band d...

Supplier adalah perusahaan atau individu yang menyediakan sumber daya dibutuhkan sebuah untuk memproduksi barang jasa tertentu,oleh karena itu diperlukanlah supplier profesional dan berkualitas meningkatkan perusahaan. Upaya mendapatkan dengan melakukan pemilihan supplier. Perancangan Sistem pendukung keputusan dilakukan pada Cv. Batu Tongga masih menggunakan cara-cara pengalaman secara umum, t...

This paper is based on the development of a fuzzy logic based edge detection technique in digital images. The proposed technique used three linear spatial filters to generate three edge strength values at each pixel of a digital image through spatial convolution process. These edge strength values are utilized as fuzzy system inputs. Decision on whether pixels in focus belong to an edge or non-...

The generation of membership functions for fuzzy systems is a challenging problem. We show that for Mamdani-type fuzzy systems with correlation-product inference, centroid defuzzi%cation, and triangular membership functions, optimizing the membership functions can be viewed as an identi%cation problem for a nonlinear dynamic system. This identi%cation problem can be solved with an extended Kalm...

This paper is based on the development of a fuzzy logic based edge detection technique in digital images. The proposed technique used three linear spatial filters to generate three edge strength values at each pixel of a digital image through spatial convolution process. These edge strength values are utilized as fuzzy system inputs. Decision on whether pixels in focus belong to an edge or non-...