A novel fuzzy rough granular neural network (NFRGNN) based on the multilayer perceptron using backpropagation algorithm is described for fuzzy classification of patterns. We provide a development strategy of knowledge extraction from data using fuzzy rough set theoretic techniques. Extracted knowledge is then encoded into the network in the form of initial weights. The granular input vector is ...

In this paper, we propose a global optimal fuzzy tracking controller, implemented by fuzzily blending the individual local fuzzy tracking laws, for continuous and discrete-time fuzzy systems with the aim of solving, respectively, the continuous and discrete-time quadratic tracking problems with moving or model-following targets under finite or infinite horizon (time). The differential or recurs...

Investigation of desertification trend needs understanding of phenomena creating changes singly or action and reaction together in the manner that these changes were ended up in land degradation. In investigation of pedological criterion onland degradation in Quaternary rock units, first, a part of the Rude-Shoor watershed area was selected. After distinguishing target area, maps of slope class...

Purpose – The purpose of this paper is to consider the following problem; if the manager of the parallel network systems wants to add new sub-decision making units (sub-DMUs) to each parallel network system, he/she wants to know how much new fuzzy inputs allocate to new sub-DMUs and how much outputs these new sub-DMUs produce such that the efficiency of each parallel network system improve or p...

Many transport policies and innovations are liable to have implications for human health and safety. How should such implications be weighed against the other costs and benefits? In particular, when policy makers are undertaking social cost-benefit analysis, what monetary value should be attached to any health or safety components? Standard welfare economics suggests that the answer should refl...

Navigation of autonomous mobile robots in unknown environments is one of the most research area. Mobile robot can be used in many applications such as indoor and outdoor security patrols, material transport. In this paper, on-line navigation for autonomous mobile robot in dynamic and unknown indoor environment using multi modules fuzzy logic technique is investigated. Four fuzzy logic modules a...

At present, the video background extraction algorithm of static scene has been nearly mature. However, video background extraction in dynamic scenes remains a challenge. In order to solve this problem, this paper proposes a dynamic scenes video background extraction algorithm. Here, our dynamic scene is based on camera movement. Firstly, we detect saliency target of video frame according to con...

In this paper, a new fuzzy forgetting factor (FFF) is developed in order to aid a modified input estimation (MIE) technique and enhance its performance in tracking high maneuvering targets. The MIE has been introduced recently and succeeds in presenting reasonably accurate target trajectory, velocity and acceleration estimation in low and mild maneuvering situations. However, after some iterati...

This paper presents a Rule Based Fuzzy Logic approach for automatic reaction control of mobile robots in an uncertain environment. The fuzzy rules anticipated for escaping the obstacles are derived from the experience of human responses to the environment that guides the robot for shortest path to reach the goal. Heuristic rules governing the robot are appropriately created according to various...

For maneuvering target tracking with multiple passive sensors in clutter environment, a novel tracking algorithm based on maximum entropy fuzzy clustering is proposed. Firstly, the interacting multiple models (IMM) approach is used to solve the maneuver problem of the target, and the false alarms generated by clutter are accommodated through maximum entropy fuzzy probabilistic data association ...