In this paper a review of type-2 fuzzy logic applications in pattern recognition, classification and clustering problems is presented. Recently, type-2 fuzzy logic has gained popularity in a wide range of applications due to its ability to handle higher degrees of uncertainty. In particular, there have been recent applications of type-2 fuzzy logic in the fields of pattern recognition, classifi...

In this paper, a control strategy is proposed for control of ankle movement on animals using intraspinal microstimulation (ISMS). The proposed method is based on fuzzy logic control. Fuzzy logic control is a methodology of intelligent control that mimics human decision-making process. This type of control method can be very useful for the complex uncertain systems that their mathematical model ...

A survey of fuzzy logic applications and principles in wireless communications is presented, with the aim of highlighting successful usage of fuzzy logic techniques in applied telecommunications and signal processing. To the best of our knowledge, this is the first such study of its kind. This paper will focus firstly on discerning prevalent fuzzy logic or fuzzy-hybrid approaches in the areas o...

Elkan’s original paper purportedly showed that fuzzy logic was paradoxical in nature due to its reliance on formal bases that preclude truth values other than 0 and 1, Elkan has now modified some of his claims and arguments slightly, although he still depends on that result as his major source of insight into the technology. We are now told, for example, that fuzzy logic is paradoxical because ...

This article presents a new learning methodology based on a hybrid algorithm for interval type-2 TSK fuzzy logic systems (FLS). Using input-output data pairs during the forward pass of the training process, the interval type-2 TSK FLS output is calculated and the consequent parameters are estimated by recursive least-squares (RLS) method. In the backward pass, the error propagates backward, and...

Type-2 fuzzy sets let us model and minimize the effects of uncertainties in rule-base fuzzy logic systems. However, they are difficult to understand for a variety of reasons which we enunciate. In this paper, we strive to overcome the difficulties by: 1) establishing a small set of terms that let us easily communicate about type-2 fuzzy sets and also let us define such sets very precisely, 2) p...

all practical digital circuits are usually a mixture of combinational and sequential logic. flip–flops are essential to sequential logic therefore fuzzy flip–flops are considered to be among the most essential topics of fuzzy digital circuit. the concept of fuzzy digital circuit is among the most interesting applications of fuzzy sets and logic due to the fact that if there has to be an ultimat...

This report describes the fuzzy classiier system and a new payoo distribution scheme that performs true reinforcement learning. The fuzzy classiier system is a crossover between learning classiier systems and fuzzy logic controllers. By the use of fuzzy logic, the fuzzy classiier system allows for variables to take continuous values, and thus, could be applied to the identiication and control o...

1. introduction isfahan oil refinery (isfahan, iran) is responsible for the production of huge amounts of oil waste. as the released organic compounds are highly toxic, carcinogenic, and mutagenic, they can potentially contaminate the soil and groundwater resources of the adjacent area. this is particularly important in isfahan where arid/semi-arid climate has limited the access to adequate sur...