Prior work has introduced a form of explainable artificial intelligence that is able to precisely explain, in human-understandable form, why it makes decisions. It also learn make better decisions without potentially learning illegal or invalid considerations. This defensible system based on fractional value rule-fact expert systems and the use gradient descent training optimize rule weightings...

The aim of this paper is to introduce a novel two-step Fuzzy Rule Interpolation Technique (FRIT) “VEIN”, based on the concept of Vague Environment. The strength of FRIT against classical fuzzy reasoning methods is the ability of gaining conclusion even in case where the knowledge is represented by sparse fuzzy rule bases. The FRIT “VEIN” introduced in this paper is following the structure the G...

Data, information and knowledge are all represented in a single formalism as “items”. Items contain two types of acceptability measures that measure the invalidity of item instances. Objects are item building operators that also contain two types of acceptability measures. These acceptability measures define a graduated acceptability region for data, information and knowledge. This region repre...

This paper connects State sovereignty to fragmentation and the potential for inconsistencies conflicts, investigating whether exercises of necessarily lead that would hinder international cooperation. It argues this is not case, essentially because logic rules differs fundamentally from statements, rule allows one find a consistent workable legal system in pluralistic fragmented collection sour...