This paper is concerned with FS-FOIL—an extension of Quinlan’s First-Order Inductive Learning Method (FOIL). In contrast to the classical FOIL algorithm, FS-FOIL uses fuzzy predicates and, thereby, allows to deal not only with categorical variables, but also with numerical ones, without the need to draw sharp boundaries. This method is described in full detail along with discussions how it can ...

Incompleteness and vagueness are inherent properties of knowledge in several real world domains and are particularly pervading in those domains where entities could be better described in natural language. In order to deal with incomplete and vague structured knowledge, several fuzzy extensions of Description Logics (DLs) have been proposed in the literature. In this paper, we address the issue...

The approaches to the solution of various problems of artificial intelligence methods are proposed. In particular, the problem of knowledge representation by means of fuzzy specifications in expert systems, the problem of recognizing the structures of the proteins of different organization levels and the problem of building linguistic models in fuzzy Boolean variables logic are considered. All ...

These are some informal remarks on quadratic orbital networks over finite fields Zp. We discuss connectivity, Euler characteristic, number of cliques, planarity, diameter and inductive dimension. We prove that for d = 1 generators, the Euler characteristic is always nonnegative and for d = 2 and large enough p the Euler characteristic is negative. While for d = 1, all networks are planar, we su...

In order to identify the dimensions and indices of the phenomenon of “leading transfer of learning” within the secondary schools of Tehran province, a sample of 17 lecturers, principals, and experienced teachers was targeted and then interviewed. Inductive analyses of the collected data at three levels of open, pivotal, and selective coding indicate that the role of high school principals along...

In today’s complex chemical processes, extracting of general knowledge from the noisy raw process data, coming continuously from the sensors, is an important issue. In this paper, an approach for symbolic knowledge extracting from noisy raw process data based on genetic algorithms (GAs), namely Fuzzy Genetic Algorithm based inductive Learning System (FGALS), is illustrated. The developed system...

The purpose of this study was to collect key success factors (KSFs) that determine information security management in cloud computing. Through contemporary literature reviews, we emphasized four major aspects: the external dimension, the internal dimension, the technology dimension, and the execution dimension. We used these dimensions to develop a questionnaire for collecting the responses fro...

The inductive dimension dim(G) of a finite undirected graph G is a rational number defined inductively as 1 plus the arithmetic mean of the dimensions of the unit spheres dim(S(x)) at vertices x primed by the requirement that the empty graph has dimension −1. We look at the distribution of the random variable dim on the Erdös-Rényi probability space G(n, p), where each of the n(n− 1)/2 edges ap...