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...

A new algorithm is proposed to learn fuzzy partitions with a high interpretability degree. The set of input variables, the number of linguistic terms per variable, and the type (triangular or trapezoidal) and parameters of the membership functions are learnt by means of a meta-algorithm that uses a simple learning method to generate a fuzzy rule set from the derived fuzzy partitions. Interpreta...