One of the tofu-producing companies in Kupang City is Bintang Oesapa. With Covid-19 pandemic,the factory needs to reconsider amount production by taking into account unpredictability ofdemand and resources minimize losses due excessive accumulation or shortages supplies. Indetermining production, Mamdani’s Fuzzy Inference System (FIS) can be used, whichis a method for analysis an uncertain syst...

Many believe that employees’ health and economic factors plays an important role in their likelihood to purchase health insurance. However decision to purchase health insurance is not trivial matters as many risk factors that influence decision. This paper presents a decision model using fuzzy inference system to identify the likelihoods of purchasing health insurance based on the selected risk...

Abstract. The paper introduces a new type of evolving fuzzy neural networks (EFuNNs), denoted as mEFuNNs, for on-line learning and their applications for dynamic time series analysis and prediction. mEFuNNs evolve through incremental, hybrid (supervised/unsupervised), on-line learning, like the EFuNNs. They can accommodate new input data, including new features, new classes, etc. through local ...

The objective of this paper is to design a nonlinear robust controller for the multimachine power system. We present in this study a sliding mode control method without the reaching phase by modifying the terms of the output tracking error combined with the fuzzy Proportional Integral Derivative based on Power System Stabilizer (FPID-PSS). The Mamdani fuzzy inference is used in this study to fi...

The big hospitals’ electricity supply system’s reliability is discussed in this article through Petri nets and Fuzzy Inference System (FIS). To simulate analyse an electric power system, the FIS Mamdani MATLAB implemented. advantage of that it uses human experience to provide a faster solution than conventional techniques. elements involved are Main Electrical Power, Generator sets, Automatic T...

Linguistic modeling of complex irregular systems is helpful for the generation of decision making controls. In the various existing Fuzzy models, proposed by Mamdani, Sugeno, and Tsukamoto, the concepts of the set of membership functions and different Fuzzy logic rules to reason about data were addressed. The time control issues were not discussed in these models. In this paper, a new model is ...

introduction according to the shortage of water resources in the world, it seems necessary the use of refined water, particularly in arid and semi-arid areas such as iran. the correct treatment, management and the control of refining process needs to investigate effective parameters in this process precisely. therefore, because of the uncertainty and complexity in refining qualitative parameter...

In this research, we introduce a classification procedure based on rule induction and fuzzy reasoning. The classifier generalizes attribute information to handle uncertainty, which often occurs in real data. To induce rules, define the corresponding system. A transformation of derived rules into interval type-2 is provided as well. fuzzification applied optimized with respect footprint uncertai...

This paper presents a current control for a three-phase electric arc furnace of direct action. In order to do this, a fuzzy control system is proposed. The fuzzy system is a Mamdani fuzzy model and the environment used is Matlab. It has the current deviations as inputs and electrode speeds as outputs. Modifying the position of the electrodes, different arc lengths will be achieved. Also, a simu...

It is well-known that the choice of membership functions is a key problem in the design of a fuzzy controller. The aim of this paper is thus to give a further contribution in this direction. In particular, the performance of the Mamdani-type fuzzy controller with piece wise linear membership functions is discussed in details, taking into account features such as overlapping, completeness level,...