We propose a new inductive principle, which we call the complexity approximation principle (CAP). This principle is a natural generalization of Rissanen’s minimum description length (MDL) principle and Wallace’s minimum message length (MML) principle and is based on the notion of predictive complexity, a recent generalization of Kolmogorov complexity. Like the MDL principle, CAP can be regarded...

Fuzzy Answer Set Programming (FASP) combines the nonmonotonic reasoning typical of Answer Set Programming with the capability of Fuzzy Logic to deal with imprecise information and paraconsistent reasoning. In the context of paraconsistent reasoning, the fundamental principle of minimal undefinedness states that truth degrees close to 0 and 1 should be preferred to those close to 0.5, to minimiz...

This paper advances a fuzzy control strategy of the phase angle between the voltage and the current of a variable RL load using the system introduced in [3]. This control method is-easy to adapt for performance The paper presents a practical implementation of a fuzzy controller for the control of an induction motor. control of power factor in a circuit with variable inductive load using a switc...

In this paper, we prove the existence and uniqueness of solution to the impulsive fuzzy functional differential equations under generalized Hukuhara differentiability via the principle of contraction mappings. Some examples are provided to illustrate the result.

Fuzzy arithmetic provides a powerful tool to introduce uncertainty into mathematical models. With Zadeh’s extension principle, one can obtain a fuzzy extension of any objective function. Computing expensive multivariate functions of fuzzy numbers, however, often poses a difficult problem due to non-applicability of common fuzzy arithmetic algorithms, severe overestimation, or very high computat...

This paper proposes a new method for uniformly minimum variance unbiased fuzzy point estimation. For this purpose we make use of a uniformly minimum variance unbiased estimator and we develop this new method for a fuzzy random sample X̃1, . . . , X̃n is induced by X1, . . . , Xn on the same probability space. Zusammenfassung: In diesem Aufsatz schlagen wir eine neue Methode vor, um einen unverzer...

Due to the nature of the geological and mining activities, different input parameters in the grade estimation and mineral resource evaluation are always tainted with uncertainties. It is possible to investigate the uncertainties related to the measurements and parameters of the variogram model using the fuzzy kriging method instead of the kriging method. The fuzzy kriging theory has already bee...

A step by step methodology for learning fuzzy rules is presented. This methodology tries to be general enough to give a framework within which diierent learning methods in an environment of uncertainty and imprecision could be developed. The nal product will always be an uncertainty distribution on the diierent rules representing the behaviour of the system. The particular uncertainty distribut...