DeepAI
Log In Sign Up

A Study on Fuzzy Systems

12/11/2012
by   Michael Gr. Voskoglou, et al.
0

We use princiles of fuzzy logic to develop a general model representing several processes in a system's operation characterized by a degree of vagueness and/or uncertainy. Further, we introduce three altenative measures of a fuzzy system's effectiveness connected to the above model. An applcation is also developed for the Mathematical Modelling process illustrating our results.

READ FULL TEXT

page 1

page 2

page 3

page 4

04/07/2016

An Analysis of General Fuzzy Logic and Fuzzy Reasoning Method

In this article, we describe the fuzzy logic, fuzzy language and algorit...
12/22/2019

A Deep Neuro-Fuzzy Network for Image Classification

The combination of neural network and fuzzy systems into neuro-fuzzy sys...
12/19/2021

MISO hierarchical inference engine with fuzzy implication satisfying I(A(x, y), z) = I(x, I(y, z))

Fuzzy inference engine, as one of the most important components of fuzzy...
09/30/2000

Noise Effects in Fuzzy Modelling Systems

Noise is source of ambiguity for fuzzy systems. Although being an import...
10/28/2022

Fuzzy Logic Model for Predicting the Heat Index

A fuzzy inference system was developed for predicting the heat index fro...
12/08/2014

A New Approach of Learning Hierarchy Construction Based on Fuzzy Logic

In recent years, adaptive learning systems rely increasingly on learning...
09/27/2015

Optimal Release Time Decision from Fuzzy Mathematical Programming Perspective

Demand for high software reliability requires rigorous testing followed ...