This repository contains code for applying the type-1 Interval Agreement Approach.
Details of the interval agreement approach are within From Interval-Valued Data to General Type-2 Fuzzy Sets.
From Interval-Valued Data to General Type-2 Fuzzy Sets | |
---|---|
Authors | C. Wagner, S. Miller, J. M. Garibaldi, D. T. Anderson and T. C. Havens |
Published in | IEEE Transactions on Fuzzy Systems, vol. 23, no. 2 April 2015. |
Pages | 248 - 269 |
DOI | 10.1109/TFUZZ.2014.2310734 |
This repository contains multiple implementations, each in its own directory, with its own specific README
file.
Here is a brief breakdown of them:
Implementation | Notes |
---|---|
py |
This is the original Python reference implementation. |
js |
This is the ECMAScript Modules package used by the DECSYS Survey Platform. |
This software is primarily licensed under the GNU Affero General Public License v3.0 only (AGPL-3.0-only
).
A summary is provided below; the full license text may be found in LICENSE.md
.
This applies to all implementations in this repository unless otherwise detailed in a specific README
.
Other license arrangements may be made as appropriate on request.
Type-1 Interval Agreement Approach
Copyright (C) 2015 - 2019 Christian Wagner, LUCID (Lab for Uncertainty in Data and Decision Making)
This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License along with this program. If not, see https://www.gnu.org/licenses/.