Confidence interval of ANFIS prediction

1 次查看（过去 30 天）
Akriti Singh
Akriti Singh 2022-8-11
回答： Balavignesh 2023-9-25
Is there a way to find the condifence values for predictions made by Neuro-Fuzzy designer?

请先登录，再回答此问题。

回答（1 个）

Balavignesh
Balavignesh 2023-9-25
Hi Akriti,
I understand that you want to find the 'confidence values' for a 'Neuro-Fuzzy Designer'.
The exact process of obtaining membership values may depend on the specific software you are using for Neuro-Fuzzy modelling.
However, a general approach to find 'confidence' values is to use the membership values associated with each prediction. 'Confidence values' can be calculated by normalizing the membership values. Membership values indicate the degree of 'confidence' in each prediction.
Here is an example code showing how you can do it:
prediction = 0.6; % Value predicted by Neuro-Fuzzy Designer
membership_values = [0.4,0.1,0.2]; % Example Membership Values
% Normalize Membership Values
confidence_values = membership_values/ sum(membership_values);
Please refer to the following documentation for more info on:
'Fuzzy Logic Designer' :

类别

在 Help Center 和 File Exchange 中查找有关 Fuzzy Logic Toolbox 的更多信息

标签

产品


版本

R2021a

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by