A template matching is a popular method for visual recognition. It costs much time to detect target objects. We have applied a Fuzzy and Neural Network algorithm to solve this problem. However, the problem to mistake recognizing the target object is not solved. Hence, in this paper, we propose a robust visual recognition algorithm for the autonomous robot navigation. The proposing algorithm emp...

Purpose Respiratory motion prediction is a chaotic time series prediction problem. In this study, respiratory motion predictability from 12 traces from breast cancer patients is examined by using Adaptive Neuro-Fuzzy Inference System (ANFIS) and Interval Type-2 Non Singleton Fuzzy System (IT2NSFLS). Methods Free breathing data curves were obtained from Real Time Position Management system (RPM ...

Fuzzy associative memories belong to the class of fuzzy neural networks that employ fuzzy operators such as fuzzy conjunctions, disjunctions, and implications in order to store associations of fuzzy patterns. Fuzzy associative memories are generally used to implement fuzzy rule-based systems. Applications of FAMs include backing up a truck and trailer, target tracking, human-machine interfaces,...

With regards to Mars rover exploration, the ExoMars 2018 is the next ESA/Roscosmos mission. This is part of the Aurora programme with the future goal of returning rock samples to Earth as part of the Mars Sample Return (MSR) mission. Currently, science target selection, and whether or not it is possible for a robot arm to touch the target, is accomplished using human operators and scientists on...

This paper presents a method for fuzzy-logic-based reactive behavior control of an autonomous mobile system in unknown environments. Difficulties in behavior-based control arise mainly from the quantitative formulation of reactive behavior as well as from the need for efficient coordination of conflicts and competition among multiple types of reactive behavior. The main idea of the present stud...

We introduce a fuzzy rough granular neural network (FRGNN) model based on the multilayer perceptron using a back-propagation algorithm for the fuzzy classification of patterns. We provide the development strategy of the network mainly based upon the input vector, initial connection weights determined by fuzzy rough set theoretic concepts, and the target vector. While the input vector is describ...

Evolution strategy (ES) is a well-known instance of evolutionary algorithms, and there have been many studies on ES. In this paper, the author proposes an extended ES for solving fuzzy-valued optimization problems. In the proposed ES, genotype values are not real numbers but fuzzy numbers. Evolutionary processes in the ES are extended so that it can handle genotype instances with fuzzy numbers....

Targeting behavior of vehicles in the battlefield (Target Analysis) is one of the most critical tasks in Computer Generated Forces (CGF) systems. This is simply because of many complex and ambiguous factors that can effect the targeting behavior of such systems in the real world. There has been many approaches including using Fuzzy Set Theory for Target Analysis. Target detection, and threat an...

In this paper, an obstacle avoidance method for wheeled mobile robots is proposed, based on selection of the local target points of robot’s movement called “via-points” which are defined in a navigation space, generated by taking into consideration a smooth robot motion. The proposed algorithm utilizes a fuzzy multi-attribute decision-making method in which three fuzzy goals are defined to achi...