Archimedean-Compensatory Fuzzy Logic Systems

An Interpretable Logical Theory: The case of Compensatory Fuzzy Logic

This paper aims to formally define a concept of interpretability according to natural language of a logical theory, and show advances for demonstrating that the logic system called Compensatory Fuzzy Logic is interpretable. A logical theory is interpretable according to natural language if the calculus based upon the elements of this logical theory can be understood in natural language and vice...

Compensatory Logic: a Fuzzy Normative Model for Decision Making

COMPENSATORY LOGIC: A FUZZY NORMATIVE MODEL FOR DECISION MAKING Rafael Espin Andrade, Management Studies Center (CETDIR) Faculty of Industrial Engineering. ISPJAE (Technical University of Havana), Cuba Gustavo Mazcorro Téllez, Interdisciplinary College of Engineering, Social and Management Sciences, UPIICSA. México Eduardo Fernández González, University of Sinaloa, Mexico Jorge Marx-Gómez, Magd...

An application of fuzzy logic in measuring a systems eectiveness

a new type-ii fuzzy logic based controller for non-linear dynamical systems with application to 3-psp parallel robot

abstract type-ii fuzzy logic has shown its superiority over traditional fuzzy logic when dealing with uncertainty. type-ii fuzzy logic controllers are however newer and more promising approaches that have been recently applied to various fields due to their significant contribution especially when the noise (as an important instance of uncertainty) emerges. during the design of type- i fuz...

Type-2 fuzzy logic systems

We introduce a type-2 fuzzy logic system (FLS), which can handle rule uncertainties. The implementation of this type-2 FLS involves the operations of fuzzification, inference, and output processing. We focus on “output processing,” which consists of type reduction and defuzzification. Type-reduction methods are extended versions of type-1 defuzzification methods. Type reduction captures more in...