GitHub

COMPARISON OF FUZZY NUMBERS WITH A TRIANGULAR MEMBERSHIP FUNCTION

Программа предназначена для специалистов, применяющих нечеткую логику и системы поддержки принятия решений, основанные на использовании ...
Europe PMC

Why Triangular Membership Functions Are So Efficient in F-Transform Applications: A Global Explanation to Supplement the Existing Local One

The main ideas of F-transform came from representing expert rules. It would be therefore re reasonable to expect that the more accurately the membership functions describe human reasoning, the more ...
IEEE

Fuzzy Type-1 Triangular Membership Function Approximation Using Fuzzy C-Means

Abstract: Fuzzy logic is a way of many-valued computing logic that deals with the truth values of the variables between 0 and 1, unlike the conventional Boolean logic. Membership functions are used to ...
GitHub

shalinijaiswalsj09/Data-analysis-using-neuro-fuzzy-model-with-post-feature-reduction

Aim of the project is to compare ANN and FNN on membership functions (Triangular, Trapezoidal and Bell) based models with post-feature reduction techniques (PCA, LDA, and ICA) to analyze complex ...
Scientific Research Publishing

Soft Computing Analysis for Stock Price Dynamism Using Gaussian Membership Function: A Case Study of Nigerian Stock Exchange ()

1 Department of Computer Science, Nnamdi Azikiwe University, Awka, Nigeria. 2 Department of Mechanical Engineering, University of Ottawa, Ottawa, Canada. Stock Prices are dynamic and vulnerable to ...