Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology

Algorithm for simultaneous defuzzification under constraints: shifted mean-max

Authors
Jörg Verstraete
Corresponding Author
Jörg Verstraete
Available Online June 2015.
DOI
https://doi.org/10.2991/ifsa-eusflat-15.2015.48How to use a DOI?
Keywords
Defuzzification, spatial disaggregation, constrained defuzzification
Abstract
In this article, we present an algorithm for defuzzifying multiple fuzzy sets simultaneously, where the defuzzified values are bound by a constraint. The algorithm aims at maximizing the lowest membership grade of the defuzzified values in each fuzzy set, while satisfying the constraint. In the examples, MeanOfMax will be used as a starting point, while the constraint is that the sum of the defuzzified values has to match a given crisp value. The article describes the algorithm, experiments and evaluation of the outcome.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Cite this article

TY  - CONF
AU  - Jörg Verstraete
PY  - 2015/06
DA  - 2015/06
TI  - Algorithm for simultaneous defuzzification under constraints: shifted mean-max
BT  - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 326
EP  - 332
SN  - 1951-6851
UR  - https://doi.org/10.2991/ifsa-eusflat-15.2015.48
DO  - https://doi.org/10.2991/ifsa-eusflat-15.2015.48
ID  - Verstraete2015/06
ER  -