Interpretability is one of the most significant properties of Fuzzy Systems which are widely acknowledged as gray boxes against other Soft Computing techniques such as Neural Networks usually regarded as black boxes. It is essential for applications with high human interaction (decision support systems in medicine, economics, etc). The use of accuracy indices to guide the fuzzy modeling process...

Many classification algorithms suffer from a lack of human interpretability. Using such classifiers to solve real world problems often requires blind faith in the given model. In this paper we present a novel approach to classification that takes into account interpretability and visualization of the results. We attempt to efficiently discover the most relevant snapshot of the data, in the form...

Current research lines in fuzzy modeling mostly tackle with improving the accuracy in descriptive models, and the improving of the interpretability in approximative models. This paper deals with the second issue approaching the problem by means of multi-objective optimization in which accurate and interpretability criteria are simultaneously considered. Evolutionary Algorithms are specially app...

Protecting users’ privacy over the Internet is of great importance; however, it becomes harder and to maintain due increasing complexity network protocols components. Therefore, investigating understanding how data are leaked from information transmission platforms can lead us a more secure environment. In this paper, we propose framework systematically find most vulnerable fields in protocol. ...

In this contribution we propose a multi-objective evolutionary algorithm for Tuning Fuzzy Rule-Based Systems by considering two objectives, accuracy and interpretability. To this aim we define a new objective that allows preserving the interpretability of the system. This new objective is an interpretability index which is the union of three metrics to preserve the original shapes of the member...

Abstract We study various properties of formalised relativised interpretability. In the central part this thesis we for different interpretability logics following aspects: completeness modal semantics, decidability and algorithmic complexity. particular, two basic types relational semantics logics. One is Veltman which shall refer to as regular or ordinary semantics; other called generalised s...