A Method Based on Fuzzy Logic Technique for Smoothing in 2D
نویسنده
چکیده
This paper describes a novel approach based on fuzzy logic technique for smoothing process on the unstructured meshes in 2D. The proposed method works local on triangulation. Therefore, remeshing does not require. It is known that other smoothing operations such as laplacian smoothing , optimization based smoothing, angle based smoothing, and hybrid smoothing operations work global. That is, in these methods, meshing is achieved, afterwards remeshing is done for smoothing. Whereas, the goal of presented method is to find the best fit location of node while meshing is done. However, remeshing process is avoided.
منابع مشابه
Prediction and evaluation of runoff data in south of Qazvin watershed, using a fuzzy logic technique
The important criteria for designing in the most of hydrologic and hydraulic construction projects are based on runoff or peak-flow of water. Mostly, this measure and criterion is calculated or estimated by stochastic data. Another feature of these data that are used in watershed hydrological studies is their impreciseness. Therefore, in this study, in order to deal with uncertainty and impreci...
متن کاملAn Improved MPPT Method of Wind Turbine Based on HCS Method by Using Fuzzy Logic System
In this paper presents a Maximum Power Point Tracking (MPPT) technique based on the Hill Climbing Search (HCS) method and fuzzy logic system for Wind Turbines (WTs) including of Permanent Magnet Synchronous Generator (PMSG) as generator. In the conventional HCS method the step size is constant, therefor both steady-state response and dynamic response of method cannot provide at the same time an...
متن کاملReliability Measures Measurement under Rule-Based Fuzzy Logic Technique
In reliability theory, the reliability measures contend the very important and depreciative role for any system analysis. Measurement of reliability measures is not easy due to ambiguity and vagueness which exist within reliability parameters. It is also very difficult to incorporate a large amount of uncertainty in well-established methodologies and techniques. However, fuzzy logic provides an...
متن کاملA FUZZY MODEL FOR ASSESSMENT PROCESSES
The methods of assessing the individuals’ performance usually applied in practice are based on principles of the bivalent logic (yes-no). However, fuzzy logic, due to its nature of including multiple values, offers a wider and richer field of resources for this purpose. In this paper we use principles of fuzzy logic in developing a new method for assessing the performance of groups of individua...
متن کاملA MODIFICATION ON RIDGE ESTIMATION FOR FUZZY NONPARAMETRIC REGRESSION
This paper deals with ridge estimation of fuzzy nonparametric regression models using triangular fuzzy numbers. This estimation method is obtained by implementing ridge regression learning algorithm in the La- grangian dual space. The distance measure for fuzzy numbers that suggested by Diamond is used and the local linear smoothing technique with the cross- validation procedure for selecting t...
متن کامل