Day: February 19, 2018

Comparison of Fuzzy Diagnosis with K-Nearest Neighbor and NaïVe Bayes Classifiers in Disease Diagnosis

The main objective of this paper is to investigate the performance of fuzzy disease diagnosis by comparing its results with two statistical classification methods used in the diagnosis of diseases namely the K-Nearest Neighbor and the Naïve Bayes classifiers. The comparisons were made using the latest XLMiner® and Medcalc® statistical

Searching the Arcane Origins of Fuzzy Logic

It is well-known that Artificial Intelligence requires Logic. But its Classical version shows too many insufficiencies. So, it is very necessary to introduce more sophisticated tools, as may be Fuzzy Logic, Modal Logic, Non-Monotonic Logic, and so on. When you are searching the possible precedent of such new ideas, we

Potential Predictability of Zpd of Children’s Cognitive Development

Obtaining information on whether the child has the potential for growth is not an easy task. Research shows that using different matrix like Raven or different batteries in a static way cannot be indicative of children further development. This study attempts to probe the potential predictability of children’s performance during

The Implication of Chaos/Complexity Theory into Second Language Acquisition

With the advances in Quantum physics and meteorology, science has moved towards more uncertainty and unpredictability (Larsen-Freeman, 2002) [12]. This has resulted in the emergence of Chaos/Complexity Science (Valle, 2000) [20], or Theory (Larsen-Freeman, 1997) [11], and Dynamic System Theory (De Bot, Lowie, & Verspoor, 2007) [3]. As Larsen-Freeman (1997)

Theoretical Relevance of Neuropsychological Data for Connectionist Modelling

The symbolic information-processing paradigm in cognitive psychology has met a growing challenge from neural network models over the past two decades. While neuropsychological evidence has been of great utility to theories concerned with information processing, the real question is, whether the less rigid connectionist models provide valid, or enough, information

Development an Automatic Speech to Facial Animation Conversion for Improve Deaf Lives

In this paper, we propose design and initial implementation of a robust system which can automatically translates voice into text and text to sign language animations. Sign Language Translation Systems could significantly improve deaf lives especially in communications, exchange of information and employment of machine for translation conversations from one

Access Management in Medical Image Databases Based on New Format and Contents Protection with Inverse Pyramid Decomposition

In the paper is presented one new approach for creation and management of medical image databases with multi-layer access, based on the Inverse Pyramid Decomposition (IPD). The archived visual data is compressed using the special IDP format, presented in detail in this paper. The new approach offers flexible tools for

Triangular Norms, Triangular Conorms, and Some Related Concepts

Abstract. Mathematically considered, a Triangular Norm is a kind of binary operation frequently used in the context of Probabilistic Metric Spaces, but also in other very interesting fields, as may be Fuzzy Logic, or in general, in Multi-Valued Logic (MVL). The T-conorm, or S-norm, is a dual concept. Both ideas