The paper investigates delay-dependent control and stability analysis for T−S fuzzy systems with a sensor delay. Based on a Lyapunov-Krasovskii function (LKF), a less conservative delay-dependent stability condition in the form of parameterized linear matrix inequalities (PLMIs) is established. In the derivation process, Jensen inequality is introduced to estimate the upper bound of the derivat...

in the past few decades, increasing growth of wind power plants causes different problems for the power quality in the grid. normal and transient impacts of these units on the power grid clearly indicate the need to improve the quality of the electricity generated by them in the design of such systems. improving the efficiency of the large-scale wind system is dependent on the control parameter...

This article integrates fuzzy set theory in Data Envelopment Analysis (DEA) framework to compute technical efficiency scores when input and output data are imprecise. In conventional DEA inputs and outputs data are precise. However, traffic and transportation take place in an uncertain environment and input and output data might be imprecise. This article proposes a possibility approach for sol...

The present work introduce a novel fuzzy approach to deal with the problem of parameter selection in the Evolutionay Computation EC Algorithms. In our approach a fuzzy clustering algorithm is used instead of a rule based system.The Fuzzy clustering gives freedom to the genetic algorithm to evolve simultaneously with the EC population.The crossover and mutation rates are optimized dynamically in...

In this paper we present an approach to neuro{fuzzy classiication that is able to learn fuzzy sets and fuzzy rules from data. The fuzzy rules that are created by this approach can be very well interpreted, however, they do not classify as good as the rules derived by sophisticated fuzzy clustering algorithms. They on the other hand supply usually unsatisfying fuzzy sets what makes it hard to in...

abstract purpose of this paper: the objectives of this paper are two folds: (1) utilizing hierarchical fuzzy technique for order preference by similarity to ideal solution (topsis) approach to evaluate the most suitable rfid-based systems decision, and (2) to highlight key risks and benefits of radio frequency identification technology in healthcare industry. design/methodology/approach: resear...