In order to achieve correct behavior the control system of an autonomous robot must perform many complex information processing tasks in real time. The robots operate in environment where the boundary conditions vary rapidly [1]. Fuzzy logic controller is well suited for controlling a robot because it is capable of making inferences even under uncertainty [2]. Ever since the fuzzy systems were ...

Topological relations are one of the most fundamental properties between spatial objects. The topological relations between crisp spatial objects have been well identified. However how to formalise the topological relations between fuzzy regions needs more investigation. The paper starts from introduction of boundaries defined in the fuzzy topological space. By use of a definition formally equi...

A methodology based on fuzzy set theory is presented to express imprecision of input data in a non-probabilitic sense. Imprecision may originate from indirect measurements, estimation routines, subjective interpretation, and expert judgement of available information. A numerical finite difference solution scheme was chosen to solve one-dimensional steady-state water flow in the unsaturated zone...

A lane departure warning system (LDWS) should give as much warning time as possible, while triggering few, if any, false alarms. In this paper, a virtual lane boundary based LDWS (VLWM) is proposed to approach this goal. VLWM allows the driver to drift beyond the physical lane boundary by adding a virtual lane boundary. Accounting for the driving habit of the driver, lane geometry, and the loca...

Intrusion of network which couldn't be analyzed, detected and prevented may make whole network system paralyze while the abnormal detection can prevent it by detecting the known and unknown character of data. Many intrusions aren’t composed by single events, but by a series of attack steps in chronological order. Analyzing the order in which events occur can improve the attack detection accurac...

In this paper, we propose a systematic and theoretically sound way to design a global optimal discrete-time fuzzy controller to control and stabilize a nonlinear discrete-time fuzzy system with finite or infinite horizon (time). A linear-like global system representation of discrete-time fuzzy system is first proposed by viewing a discrete-time fuzzy system in global concept and unifying the in...

The Euclidean path integral is well approximated by instantons. If instantons are dynamical, they will necessarily be complexified. Fuzzy can have multiple physical applications. In slow-roll inflation models, fuzzy explain the probability distribution of initial conditions universe. Although potential shape does not satisfy due to swampland criteria, still origin we extend beyond Hartle–Hawkin...

A Markov random field (MRF) based method using both contextual information and multiscale fuzzy line process for classifying remotely sensed imagery is detailed in this paper. The study area known as Elkhorn Slough is an important natural reserve park located in the central California coast, USA. Satellite imagery such as IKONOS panchromatic and multispectral data provides a convenient way for ...

In order to obtain a demanded fuzzy implication, a number of properties have been proposed, among which the first place antitonicity, the second place monotonicity and the boundary conditions are the most important ones. The three classes of fuzzy implications derived from the implication in binary logic, S-, Rand QL-implications all satisfy the second place monotonicity and the boundary condit...