The Mamdani and TSK fuzzy models are fuzzy inference engines which have been most widely applied in real-world problems. Compared to the Mamdani approach, the TSK approach is more convenient when the crisp outputs are required. Common to both approaches, when a given observation does not overlap with any rule antecedent in the rule base (which usually termed as a sparse rule base), no rule can ...

Lots of problems that contain uncertainty arise in this world. Fuzzy logic is one the methods created to analyze systems these uncertainties. In study, author uses Mamdani method or often also known as Min-Max which an application fuzzy method. The purpose study was determine amount tofu production at UD. Eko Jaya Pasuruan by using MinMax (Mamdani) data used number requests and product inventor...

Hour meter adalah instrument untuk mengukur lama penggunaan peralatan yang biasa digunakan pada sistem runtime. Tujuan hour memonitor alat sebagai dasar perawatan tersebut. Pada penelitian ini bertujuan mengumpulkan data running saat kondisi berbeban secara online satu server, sehingga dapat lebih mudah memonitor. Menggunakan sensor arus beban kerja dan motor listrik. Data dikirim oleh mikrokon...

Crystal guava is one of Indonesia's flora diversity. The rind the unripe crystal fruit green, and ripe yellowish green. However, it difficult to determine ripeness due similar color skin. Determining uncertain therefore requires a way deal with this uncertainty. One methods you can use fuzzy Mamdani. In study, level determined using fruits fall into four categories: raw, half ripe, very ripe. d...

Many factors related to river run-off are vague, subjective and difficult to quantify. The fuzzy logic method is very useful for such problem solving approach such as small hydro power generation. The rule base and membership functions have a great influence on the performance and efficacy of the plant and also to optimize the small hydro power generation in the high altitude region particularl...

This paper presents an adaptation of the COR methodology to derive the rule base in TSK-type linguistic fuzzy rule-based systems. In particular, the work adapts an existing local search algorithm for Mamdani rules which was shown to find the best solutions, whilst reducing the number of evaluations in the learning process.

This study used two different approaches to model changes in biomass composition during microwave-based pretreatment of switchgrass: kinetic modeling using a time-dependent rate coefficient, and a Mamdani-type fuzzy inference system. In both modeling approaches, the dielectric loss tangent of the alkali reagent and pretreatment time were used as predictors for changes in amounts of lignin, cell...

This paper presents clustering techniques (K-means, Fuzzy K-means, Subtractive) applied on specific databases (Flower Classification and Mackey-Glass time series) , to automatically process large volumes of raw data, to identify the most relevant and significative patterns in pattern recognition, to extract production rules using Mamdani and Takagi-SugenoKang fuzzy logic inference system types.

The paper presents the design of municipal creditworthiness parameters. Municipal creditworthiness modelling is realized by fuzzy logic based systems. Therefore, current designs of hierarchical structures of Mamdanitype fuzzy inference systems and their analysis are introduced. Key-Words: Municipal creditworthiness, Mamdani-type fuzzy inference systems, hierarchical structures of fuzzy inferenc...

many real time processes have complex, uncertain and nonlinear dynamics. boilers are nonlinear, time varying, multi-input multi-output (mimo) systems, whose states generally vary with operating conditions. the major problem in controlling that system is that its drum water pressure and steam flow dynamics include an integrator that results a critically stable behavior. conventional controller p...