In this paper, we prove that any BL-general fuzzy automaton (BL-GFA) and its quotient have the same behavior. In addition, we obtain the minimal quotient BL-GFA and minimal quotient transformation of the BL-GFA, considering the notion of maximal admissible partition. Furthermore, we show that the number of input symbols and time complexity of the minimal quotient transformation of a BL-GFA are ...

We have constructed a system for recognizing multi-character images 1. This is a nontrivial extension of our previous work on single-character images. It is somewhat surprising that a very good single-character recognizer does not in general form a good basis for a multi-character recognizer. The correct solution depends on three key ideas: 1) A method for normalizing probabilities correctly, t...

In this paper we propose a recognition system for handwritten manuscripts by writers of the 20th century. The proposed system first applies some preprocessing steps to remove background noise. Next the pages are segmented into individual text lines. After normalization a hidden Markov model based recognizer, supported by a language model, is applied to each text line. In our experiments we inve...

We have developed the notion of lexicon density as a metric to measure the expected accuracy of handwritten word recognizers. Thus far, researchers have used the size of the lexicon as a gauge for the difficulty of the handwritten word recognition task. For example, the literature mentions recognizers with accuracy for lexicons of sizes 10, 100, 1000, and so forth, implying that the difficulty ...

This paper analyzes the number of operations and parameters of general fuzzy logic control algorithms. And limitations of loop controllers to implement the fuzzy logic control are investigated in terms of computation time and required memory. Using analysis of general fuzzy logic control algorithms, it is shown that general fuzzy logic control algorithms are not suitable for loop controllers. A...

In this paper is presented a modeling of assessment systems of taxonomies using fuzzy logic. Specifically the taxonomies system solo is studied, which can be applied in a wide range of fields of diagnostic science. In what concerns education, the test correction is extremely hard and demands experts that are not always available. The intelligent system offers the opportunity to evaluate and cla...

Fuzzy Logic Systems are widely recognized to be successful at modelling uncertainty in a large variety of applications. While recently interval type-2 fuzzy logic has been credited for the ability to better deal with large amounts of uncertainty, general type2 fuzzy logic has been a steadily growing research area. All fuzzy logic systems require the accurate specification of the membership func...

The modeling of diagnostic systems of taxonomies using fuzzy logic is presented in this paper. Specifically the taxonomies system solo is studied, which that can be applied in a wide range of fields of diagnostic science. The intelligent system that is developed based on the presented modeling can make easier the use of diagnostic systems in education since the test correction is extremely hard...