In this paper, a quadratic programming (FFQP) problem is considered in which all of the cost coefficients, constraints coefficients, and right hand side of the constraints are characterized by L-R fuzzy numbers. Through this paper, the concept of α- level of fuzzy numbers for the objective function, and the order relations on the fuzzy numbers for the constraints are considered.  To optimize th...

In this paper we study generic expansions of predicate logics of some left-continuous t-norms (mainly Gödel and Nilpotent Minimum predicate logics) with a countable set of truth-constants. Using known results on tnorm based predicate fuzzy logics we obtain results on the conservativeness and completeness for the expansions of some predicate fuzzy logics. We describe the problem for the cases of...

This paper represents Fuzzy logic based Adaptive Noise filter for real time image processing applications. Initially, the detection is performed using 3x3 scan and then taking a mean of four pixels further scanning is performed. Then histogram approach is applied for improving the image quality, textures and edges. The detection stage will identify the noise pixels. In the second stage of filte...

The paper considers an early approach toward a (fuzzy) set theory with a graded membership predicate and a graded equality relation which had been developed by the German mathematician D. Klaua in 1965. In the context of the mathematical fuzzy logic MTL of left-continuous t-norms we discuss some properties of these graded relations. We compare the simultaneous recursive definitions of these rel...

A two-layer fuzzy logic controller has been designed for 2-D autonomous navigation of a skid steering vehicle in an obstacle filled environment. The first layer of the fuzzy controller provides a model for multiple sonar sensor input fusion and it is composed of four individual controllers, each calculating a collision possibility in front, back, left and right directions of movement. The secon...

This paper presents a method that can acquire fuzzy rules for Sony legged robot behaviours automatically. We use fuzzy logic controllers (FLCs) to design robot behaviours. The antecedents of the FLCs are pre-design, while their consequences are left for automatic acquisition. Once the consequences are optimally chosen, the robot behaviours are well designed. Genetic algorithms (GAs) are employe...

Bipolarity is an important feature of spatial information, involved in the expressions of preferences and constraints about spatial positioning, or in pairs of “opposite” spatial relations such as left and right. Imprecision should also be taken into account, and fuzzy sets is then an appropriate formalism. In this paper, we propose to handle such information based on mathematical morphology op...

By using the single VGA camera installed on mobile robot, a vision-based intelligent obstacle avoidance algorithm is developed in this paper. The image data are processed by edge detection method. By using the adaptive network based fuzzy inference system (ANFIS), the horizontal edge numbers (HEN) and vertical edge numbers (VEN) are feed into ANFIS to train the fuzzy rules such as to control th...

Brain Machine Interface (BMI) provides a digital link between the brain and a device such as a computer, robot or wheelchair. This paper presents a BMI design using Neuro-Fuzzy classifiers for controlling a wheelchair using EEG signals. EEG signals during motor imagery (MI) of left and right hand movements are recorded noninvasively at the sensorimotor cortex. Four mental task signals are analy...