nebular

A fuzzy logic API in Java

License	The Apache Software License, Version 2.0
GroupId	com.tupilabs
ArtifactId	nebular
Last Version	0.4
Release Date	Dec 22, 2015
Type	jar
Description	nebular A fuzzy logic API in Java
Project URL	http://tupilabs.github.io/nebular
Project Organization	TupiLabs
Source Code Management	https://github.com/tupilabs/nebular

Download nebular

Filename	Size
nebular-0.4.pom
nebular-0.4.jar	285 KB
nebular-0.4-sources.jar	312 KB
nebular-0.4-javadoc.jar	1 MB

How to add to project

Apache Maven

<!-- https://jarcasting.com/artifacts/com.tupilabs/nebular/ -->
<dependency>
    <groupId>com.tupilabs</groupId>
    <artifactId>nebular</artifactId>
    <version>0.4</version>
</dependency>

Gradle Groovy

// https://jarcasting.com/artifacts/com.tupilabs/nebular/
implementation 'com.tupilabs:nebular:0.4'

Gradle Kotlin

// https://jarcasting.com/artifacts/com.tupilabs/nebular/
implementation ("com.tupilabs:nebular:0.4")

Apache Buildr

'com.tupilabs:nebular:jar:0.4'

Apache Ivy

<dependency org="com.tupilabs" name="nebular" rev="0.4">
  <artifact name="nebular" type="jar" />
</dependency>

Groovy Grape

@Grapes(
@Grab(group='com.tupilabs', module='nebular', version='0.4')
)

Scala SBT

libraryDependencies += "com.tupilabs" % "nebular" % "0.4"

Leiningen

[com.tupilabs/nebular "0.4"]

Dependencies

compile (2)

Group / Artifact	Type	Version
org.apache.commons : commons-math3	jar	3.0
org.apache.commons : commons-lang3	jar	3.0.1

test (1)

Group / Artifact	Type	Version
junit : junit	jar	4.12

Project Modules

There are no modules declared in this project.

Nebular

Nebular is a pure Java fuzzy logic API. With nebular you can include fuzzy logic and fuzzy sets to your Java code, without the need of external or binary files.

This is possible in nebular because it uses functional programming. Instead of an external file defining a rule or function, you use Java objects and call methods passing function, predicate or other kinds of functors to model a fuzzy system.

1 minute example

The following code:

double a = 2.0;
double c = 4.0;
SigmoidalMembershipFunction mf = new SigmoidalMembershipFunction(a, c);
for(double i : new DoubleRange(0.0, 10.0, 0.1).toCollection()) {
    System.out.printf("%.4f ", mf.apply(i));
}

Produces the following output:

0.0003 0.0004 0.0005 0.0006 0.0007 0.0009 0.0011 0.0014 0.0017 0.0020 0.0025 0.0030 0.0037 0.0045 0.0055 0.0067 0.0082 0.0100 0.0121 0.0148 0.0180 0.0219 0.0266 0.0323 0.0392 0.0474 0.0573 0.0691 0.0832 0.0998 0.1192 0.1419 0.1680 0.1978 0.2315 0.2689 0.3100 0.3543 0.4013 0.4502 0.5000 0.5498 0.5987 0.6457 0.6900 0.7311 0.7685 0.8022 0.8320 0.8581 0.8808 0.9002 0.9168 0.9309 0.9427 0.9526 0.9608 0.9677 0.9734 0.9781 0.9820 0.9852 0.9879 0.9900 0.9918 0.9933 0.9945 0.9955 0.9963 0.9970 0.9975 0.9980 0.9983 0.9986 0.9989 0.9991 0.9993 0.9994 0.9995 0.9996 0.9997 0.9997 0.9998 0.9998 0.9998 0.9999 0.9999 0.9999 0.9999 0.9999 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 

Build Status

Licensing

See LICENSE.txt or pom.xml for licensing.

TupiLabs

Open Source and Innovation

Versions

Version
0.4 Dec 22, 2015