Proceedings of the Fourth International Workshop on Knowledge Discovery, Knowledge Management and Decision Support

Multivalued Fuzzy Logics: A Sensitive Analysis

Authors
Pablo Michel Marin Ortega, Rafael Espín Andrade, Jorge Marx Gómez
Corresponding Author
Pablo Michel Marin Ortega
Available Online October 2013.
DOI
https://doi.org/10.2991/.2013.1How to use a DOI?
Keywords
Sensitive analysis, Sobol model and the Monte Carlo simulations, fuzzy operators
Abstract
The main goal of this research is develop a sensitive analysis (SA) among some fuzzy operators, to ask the question: which is the most robustness fuzzy operators The fuzzy operators consider in this study are: Zadeh operators, Probabilistic operators and finally the compensatory fuzzy logic operators: Geometric mean and Arithmetic mean. The Sobol model and the Monte Carlo simulations was been used to develop the SA. According with the main result of the study the compensatory fuzzy logic operators are the most robust.
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Proceedings
Fourth International Workshop on Knowledge Discovery, Knowledge Management and Decision Support
Part of series
Advances in Intelligent Systems Research
Publication Date
October 2013
ISBN
978-90-78677-86-4
ISSN
1951-6851
DOI
https://doi.org/10.2991/.2013.1How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Pablo Michel Marin Ortega
AU  - Rafael Espín Andrade
AU  - Jorge Marx Gómez
PY  - 2013/10
DA  - 2013/10
TI  - Multivalued Fuzzy Logics: A Sensitive Analysis
BT  - Fourth International Workshop on Knowledge Discovery, Knowledge Management and Decision Support
PB  - Atlantis Press
SP  - 1
EP  - 7
SN  - 1951-6851
UR  - https://doi.org/10.2991/.2013.1
DO  - https://doi.org/10.2991/.2013.1
ID  - MarinOrtega2013/10
ER  -