Titlebook: Interpretability Issues in Fuzzy Modeling; Jorge Casillas,Oscar Cordón,Luis Magdalena Book 2003 Springer-Verlag Berlin Heidelberg 2003 aut

Keshan-disease

Identifying Flexible Structured Premises for Mining Concise Fuzzy Knowledgedata, a compact fuzzy rule base, to reach concise yet highly generalizing knowledge. For this purpose, we establish flexible structured premises of rules, allowing for not only canonical AND combinations of input fuzzy sets but also OR connectives of linguistic terms as well as incomplete compositio

NAV

A Multiobjective Genetic Learning Process for joint Feature Selection and Granularity and Contexts Lautomatically learn the whole Data Base definition using a non linear scaling function to adapt the fuzzy partition contexts and determining an appropiate granularity for each of them. An ad-hoc data covering learning method is considered to obtain the Rule Base. The method uses a multiobjective gen

charisma

字形刻痕

EPT

A new method for inducing a set of interpretable fuzzy partitions and fuzzy inference systems from dmber of rules should be small, and incomplete rules have to be handled. An incomplete rule is a rule defined only by a few variables. The presence of incomplete rules reflects the fact that all the variables do not have the same importance for all rules..We propose a new method for learning a fuzzy

cochlea

ANTIC

Interpretability in Multidimensional Classification the model itself can undermine the interpretability of this information. This chapter introduces metrics quantifying the information flow between inputs, feature dimensions and output classes. These metrics are used to estimate the contribution of individual input features to a fuzzy classification

性满足

Interpretable Semi-Mechanistic Fuzzy Models by Clustering, OLS and FIS Model Reductiondels are hybrid models that consist of a white box structure based on mechanistic relationships and black-box substructures to model less defined parts. First, it is shown that certain type of white-box models can be efficiently incorporated into a Takagi-Sugeno fuzzy rule structure. Next, the propo

Folklore

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Effect of Rule Representation in Rule Base Reductiontheir interpretability. The effectiveness of rule merging depends upon the underlying system, the learning algorithm, and the type of rule. In this paper we examine the ability to merge rules using variations of Mamdani and Takagi-Sugeno-Kang style rules. The generation of the rule base is a two par