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...

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.

Fuzzy control is one of the most important parts of fuzzy theory for which several approaches exist. Mamdani uses $alpha$-cuts and builds the union of the membership functions which is called the aggregated consequence function. The resulting function is the starting point of the defuzzification process. In this article, we define a more natural way to calculate the aggregated consequence funct...

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...

There are two main approaches to design a neural fuzzy system; namely, through expert knowledge, and through numerical data. While the computational structure of a system is manually crafted by human experts in the former case, self-organizing neural fuzzy systems that are able to automatically extract generalized knowledge from batches of numerical training data are proposed for the latter. Ne...

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...

Prakiraan cuaca merupakan salah satu kajian yang sangat menarik untuk dilakukan. Data mengenai juga dibutuhkan di berbagai bidang kehidupan, sehingga membuat penulis tertantang meneliti metode paling akurat dalam memprakirakan cuaca. Salah teknik pemodelan prakiraan adalah Fuzzy Inference System (FIS), dan FIS ini menghasilkan tingkat akurasi tinggi.. Metode terbagi menjadi tiga tipe yaitu Mamd...