The purpose of this paper is to create an interval estimation of the fuzzy system reliability for the repairable multistate series-parallel system (RMSS). Two-sided fuzzy confidence interval for the fuzzy system reliability is constructed. The performance of fuzzy confidence interval is considered based on the coverage probability and the expected length. In order to obtain the fuzzy system rel...

position estimation system based on GPS, that uses a fuzzy sensor fusion technique. A fuzzy path tracking algorithm is also proposed. Both systems have been implemented in the ROMEO-4R vehicle developed at the University of Seville. ÃÃDIUSP9V88DPI Path tracking of autonomous vehicles consists in the generation of the steering commands for a vehicle to follow autonomously a given path taking int...

Fuzzy linear regression models are used to obtain an appropriate linear relation between a dependent variable and several independent variables in a fuzzy environment. Several methods for evaluating fuzzy coefficients in linear regression models have been proposed. The first attempts at estimating the parameters of a fuzzy regression model used mathematical programming methods. In this the...

A hybrid GP-fuzzy approach to model reservoir permeability is presented. This approach uses a two-step divide-and-conquer process for modelling. First, GP is applied to construct classifiers that identify permeability ranges. Within each range, ANFIS is employed to build a Takagi-Sugeno-Kang fuzzy inference system that gives permeability estimation. We applied this method to five well log data ...

Abstracb This paper presents the estimation of the transmission gain for an AC power line data network in an intelligent home. The estimated gain ensures the transmission reliability and efficiency. A neural-fuzzy network with rule switches is proposed to perform the estimation. An improved genetic algorithm is proposed to tune the parameters and the rules of the proposed neural-fuzzy network. ...

One of the greatest challenges for software developers is forecasting the development effort for a software system for the last decades. The capability to provide a good estimation on software development efforts is necessitated by the project managers. Software effort estimation model divided into two main categories: algorithmic and nonalgorithmic. These models too have difficulty in modeling...

In this paper, a parameter estimation problem for a Takagi-Sugeno (TS) fuzzy dynamical system is formulated under the assumption that the premises in the membership functions are known. A linear expression in consequent parameters is obtained under this assumption. If the system is timevarying (TV), the parameters can be determined by recursive estimation techniques. As an alternate approach, t...

The present work addresses the study of techniques of digital image processing based on fuzzy logic for subcutaneous fat (SF) estimation in real time ultrasound (RTU) images. The process for SF automatic estimation in RTU images is divided into two steps: the identification of the image area corresponding to the SF regions and, from these regions, the SF estimation. In order to deal with the am...

In this paper, a new PI observer of flux of induction motor is proposed. In the conventional PI observer, the PI correctors make the correction of estimation errors of stator currents of induction motor. In the proposed PI observer, we replace the two PI correctors of the structure of the PI observer by two adaptive neuro-fuzzy correctors. The aim is to enhance the robustness of correction of e...

Software effort estimation is a critical part of software engineering. Although many techniques and algorithmic models have been developed and implemented by practitioners, accurate software effort prediction is still a challenging endeavor. In order to address this issue, a novel soft computing framework was previously developed. Our study utilizes this novel framework to develop an approach c...