Interpretability of linguistic fuzzy rule-based systems: An overview of interpretability measures
Linguistic fuzzy modelling, developed by linguistic fuzzy rule-based systems, allows us to
deal with the modelling of systems by building a linguistic model which could become …
deal with the modelling of systems by building a linguistic model which could become …
A historical review of evolutionary learning methods for Mamdani-type fuzzy rule-based systems: Designing interpretable genetic fuzzy systems
O Cordón - International journal of approximate reasoning, 2011 - Elsevier
The need for trading off interpretability and accuracy is intrinsic to the use of fuzzy systems.
The obtaining of accurate but also human-comprehensible fuzzy systems played a key role …
The obtaining of accurate but also human-comprehensible fuzzy systems played a key role …
A review of the application of multiobjective evolutionary fuzzy systems: Current status and further directions
Over the past few decades, fuzzy systems have been widely used in several application
fields, thanks to their ability to model complex systems. The design of fuzzy systems has …
fields, thanks to their ability to model complex systems. The design of fuzzy systems has …
Low-level interpretability and high-level interpretability: a unified view of data-driven interpretable fuzzy system modelling
This paper aims at providing an in-depth overview of designing interpretable fuzzy inference
models from data within a unified framework. The objective of complex system modelling is …
models from data within a unified framework. The objective of complex system modelling is …
Interpretability of fuzzy systems: Current research trends and prospects
Fuzzy systems are universally acknowledged as valuable tools to model complex
phenomena while preserving a readable form of knowledge representation. The resort to …
phenomena while preserving a readable form of knowledge representation. The resort to …
A vector similarity measure for linguistic approximation: Interval type-2 and type-1 fuzzy sets
Fuzzy logic is frequently used in computing with words (CWW). When input words to a CWW
engine are modeled by interval type-2 fuzzy sets (IT2 FSs), the CWW engine's output can …
engine are modeled by interval type-2 fuzzy sets (IT2 FSs), the CWW engine's output can …
Interpretability constraints for fuzzy information granulation
C Mencar, AM Fanelli - Information Sciences, 2008 - Elsevier
Information granules are complex entities that arise in the process of abstraction of data and
derivation of knowledge. The automatic generation of information granules from data is an …
derivation of knowledge. The automatic generation of information granules from data is an …
Looking for a good fuzzy system interpretability index: An experimental approach
JM Alonso, L Magdalena… - International Journal of …, 2009 - Elsevier
Interpretability is acknowledged as the main advantage of fuzzy systems and it should be
given a main role in fuzzy modeling. Classical systems are viewed as black boxes because …
given a main role in fuzzy modeling. Classical systems are viewed as black boxes because …
Integration of an index to preserve the semantic interpretability in the multiobjective evolutionary rule selection and tuning of linguistic fuzzy systems
In this paper, we propose an index that helps preserve the semantic interpretability of
linguistic fuzzy models while a tuning of the membership functions (MFs) is performed. The …
linguistic fuzzy models while a tuning of the membership functions (MFs) is performed. The …
On-line assurance of interpretability criteria in evolving fuzzy systems–achievements, new concepts and open issues
E Lughofer - Information sciences, 2013 - Elsevier
In this position paper, we are discussing achievements and open issues in the
interpretability of evolving fuzzy systems (EFS). In addition to pure on-line complexity …
interpretability of evolving fuzzy systems (EFS). In addition to pure on-line complexity …