Railway interlocking system is a distributed, safety, monetary and environmentally critical system and its failure may cause the loss of human life, severe injuries, loss of money and environmental damages. The complexity of this system requires formal modeling and step by step refinement for its construction and development. The formal specification-based languages, such as V DM , Z-notation a...

Repairable system analysis is in nature an evaluation of repair effects. Recent tendency in reliability engineering literature was imposing repair regimes and estimate system repair effects or linking repair to certain covariate to extract repair impacts. Hinted by engineering tune up exercises, we propose a repair model in terms of random variable distribution with a fuzzy parameter because fu...

In this paper, a fuzzy controller for an inverted pendulum system is presented in two stages. These stages are: investigation of fuzzy control systemmodeling methods and solution of the “Inverted Pendulum Problem” by using Java programming with Applets for internet based control education. In the first stage, fuzzy modeling and fuzzy control system investigation, Java programming language, clas...

Abstract: The fuzzy and neuro-fuzzy modeling approaches represent extremely powerful tool for non-linear dynamic systems approximation. By using this tool it is possible to overcome difficulties in conventional techniques for dealing with nonlinearity. This paper presents the design of the diagnostic system exploits these fuzzy modeling approximation abilities together with fault detection and ...

This paper shows possibility of extraction Social, Group and Individual Mind from Multiple Agents Rule Bases. Types those Rule bases are selected as two fuzzy systems, namely Mambdani and Takagi-Sugeno fuzzy system. Their rule bases are describing (modeling) agent behavior. Modifying of agent behavior in the time varying environment will be provided by learning fuzzyneural networks and optimiza...

This paper presents an innovative approach to the structure determination problem in fuzzy modeling. By using the well-known CART (classiication and regression tree) algorithm as a quick preprocess, the proposed method can roughly estimate the structure (numbers of membership functions and number of fuzzy rules, etc.) of a fuzzy inference system; then the parameter identiication is carried out ...

Sugeno-Weber family of t-norms and t-conorms is one of the most applied one in various fuzzy modelling problems. This family of t-norms and t-conorms was suggested by Weber for modeling intersection and union of fuzzy sets. Also, the t-conorms were suggested as addition rules by Sugeno for so-called  $lambda$–fuzzy measures. In this paper, we study a nonlinear optimization problem where the fea...

This paper examines the inverse control problem of nonlinear systems with stable dynamics using a fuzzy modeling approach. Indeed, based on the ability of fuzzy systems to approximate any nonlinear mapping, the nonlinear system is represented by a Takagi-Sugeno (TS) fuzzy system, which is then inverted for designing a fuzzy controller. As an application of the proposed inverse control methodolo...

The probabilistic fuzzy set (PFS) and the related probabilistic fuzzy logic system (PFLS) are designed for handling the uncertainties in both stochastic and nonstochastic nature. In this paper, a novel probabilistic fuzzy set is proposed by randomly varying widths of the Gaussian membership function. Then the related PFLS is constructed and applied to logistics manipulator system problem to stu...

This present paper is an efficient solution to control the basis weight of paper in pulp and paper industry using a fuzzy logic controller. The traditional systems are based on operator’s experience and data provided by the mill. The decision of the operator is not exact but good enough or appropriate. Fuzzy Logic offers a promising solution to this conceptual design through fuzzy modeling. Fuz...