Risk Prevention and Deduction in Software Development Using Fuzzy Membership Function
نویسندگان
چکیده
منابع مشابه
Evaluation of Optimal Fuzzy Membership Function for Wind Speed Forecasting
In this paper, a new approach is proposed in order to select an optimal membership function for inputs of wind speed prediction system. Then using a fuzzy method and the stochastic characteristics of wind speed in the previous year, the wind speed modeling is performed and the wind speed for the future year will be predicted. In this proposed method, the average and the standard deviation of in...
متن کاملOptimization of Fuzzy Membership Function Using Clonal Selection
A clonal selection algorithm (Clonalg) inspires from Clonal Selection Principle used to explain the basic features of an adaptive immune response to an antigenic stimulus. It takes place in various scientific applications and it can be also used to determine the membership functions in a fuzzy system. The aim of the study is to adjust the shape of membership functions and a novice aspect of the...
متن کاملFuzzy Membership Function Elicitation using Plausible Neural Network
The elicitation method of the fuzzy membership function depends on the interpretation of the membership function. This paper applies a recently developed neural network framework, Plausible Neural Network (PNN), to generate fuzzy membership functions automatically with or without class labeling based on the similarity and likelihood measurement. The approach combining supervised and unsupervise...
متن کاملFuzzy Membership Function Generation using Particle Swarm Optimization
In this paper, we will propose a method to generate fuzzy membership function automatically. Particle Swarm Optimization is used as optimized algorithm, supplement the performance of fuzzy system. PSO is able to generate an optimal of fuzzy set for the membership functions automatic adjustment. Fuzzy control system that automatically back up a truck to a specified point on a loading dock is use...
متن کاملGenerate Fuzzy Membership Function using Particle Swarm Optimization
In this paper, we will proposed a hybrid method to generate fuzzy membership function automatically. Particle Swarm Optimization (PSO) is used as optimized algorithm, supplement the performance of fuzzy system. The PSO is able to generate an optimal set of parameter for the membership functions automatic adjustment. Fuzzy control system that automatically backs up a truck to a specified point o...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Malaysian Journal of Computer Science
سال: 2015
ISSN: 0127-9084
DOI: 10.22452/mjcs.vol28no3.4