Navigation and obstacle avoidance in an unknown environment is proposed in this paper using hybrid neural network with fuzzy logic controller. The overall system is termed as Adaptive Neuro Fuzzy Inference System (ANFIS). ANFIS combines the benefits of fuzzy logic and neural networks for the purpose of achieving robotic navigation task. Simulation results are presented using Khepera Simulator (...

A development environment for fuzzy logic based inference systems is presented in this paper. CAD tools included within the environment simplify the tasks of specification, verification and synthesis of fuzzy systems. System specification is carried out with the help of a high-level description language. This specification is the input for all the verification and synthesis facilities provided ...

This paper presents an implementation of self-tuned PID controller (FPID) for speed control of DC motor based on LabVIEW (Laboratory Virtual Instrument Engineering Workbench Environment). The algorithms of fuzzy PID controller (FPID) and conventional PID controller (CPID) are implemented using PID and Fuzzy Logic simulation toolkits of the Lab View environment. The simulation results demonstrat...

In this paper, the Kapur cross-entropy minimization model for portfolio selection problem is discussed under fuzzy environment, which minimizes the divergence of the fuzzy investment return from a priori one. First, three mathematical models are proposed by defining divergence as cross-entropy, average return as expected value and risk as variance, semivariance and chance of bad outcome, respec...

nowadays, the problem of the flexibility in any organization has essential importance and the associated investigation with the organizational efficiency and performance is considered. in real-world situation, the process of decision making is often based on linguistic and mental data, so applying fuzzy logic in modeling at this point of view is convenient. in this paper, a fuzzy approach is ap...

Here, we propose a fuzzy analytic hierarchy process (FAHP) method to evaluate the alternatives of enterprise resource planning (ERP) system. The fuzzy AHP approach allows the users get values more accurately to model the vagueness which changes according subjective ideas in the decision-making environment for ERP system selection problem. Therefore, fuzzy AHP method is used to obtain firm decis...

Defuzzification is the process of converting a fuzzy quantity to precise quantity, just as fuzzification is the conversion of a precise quantity to a fuzzy quantity. Various types of defuzzification methods, are available for conversion of fuzzy to non-fuzzy. In this paper, defuzzification functions in intuitionistic fuzzy environment such as triangular, trapezoidal, L-trapezoidal, R-trapezoida...

This article presents a new method to design, in two levels, fuzzy controller for reactive navigation of a mobile robot in a structured unknown environnment. At the rst level, adjacent sensors are grouped in areas and are used to deene local behaviors. These local behaviors are then gathered at the second level in order to deene a global behavior. Two experiments with diierent local behaviors a...

Nowadays, determining faults (or critical situations) in nonstationary environment is a challenging task in complex systems such as Nuclear center, or multi-collaboration such as crisis management. A discrete event system or a fuzzy discrete event system approach with a fuzzy role-base may resolve the ambiguity in a fault diagnosis problem especially in the case of multiple faults (or multiple ...