It is widely recognized today that the management of imprecision and vagueness will yield more intelligent and realistic knowledge-based applications. Description Logics (DLs) are a family of knowledge representation languages that have gained considerable attention the last decade, mainly due to their decidability and the existence of empirically high performance of reasoning algorithms. In th...

Fuzzy semigroup theory concentrates on theoretical aspects, but also includes applications in the areas of fuzzy coding theory, fuzzy finite state machines, and fuzzy languages. In this paper, we introduce the concept of an ( , )-fuzzy filter of an ordered semigroup , where , , , , with . Since the concept of ( , )-fuzzy filter is an important and useful generalization of ordinary fuzzy filter,...

In this study, as an application of robotics in hazardous tasks, a dual arm cooperative robot system is considered. The robot system is consisting of two planar arms; each of them has two degrees of freedom. The robot arms are in a task which requires handling and transporting a load in horizontal plane from its initial position to desired location with reliability. Dynamic equations of the phy...

Modeling of human knowledge and reasoning requires the formulation of uncertainty in its various forms. Fuzzy logic was introduced to directly support these applications [4]. Fuzzy Control (FC) which is based on fuzzy logic allows to control complex systems based on qualitative information like human knowledge [4, 2]. In fuzzy logic, fuzzy sets are usually de ned and manipulated by the means of...

In paper the fuzzy linear system d x C x A ~ ~ ~   where A and C are crisp matrices and n m  d~ is a LR fuzzy numbers vector, is investigated in detail. We generalize the definition and arithmetic operations of LR fuzzy numbers and convert the dual fuzzy linear system to two crisp systems of linear equations. Then the minimal fuzzy solution of the original fuzzy system is obtained by solving...

This paper presents a systematic approach to implementing fuzzy parsers. A fuzzy parser is a form of syntax analyzer that performs analysis on selected portions of its input rather than performing a detailed analysis of a complete source text. Fuzzy parsers are often components of software tools and also of program development environments that extract information from source texts. This paper ...

This paper presents a new methodology for executing and adjusting a fuzzy algorithm. It is based on a new concept of fuzzy formal language. The methodology consists of transforming the steps of a fuzzy algorithm into production rules of a fuzzy grammar, executing the algorithm according to the dynamics of this grammar and adjusting its execution using the learning capability of fuzzy formal lan...

Most voice biometric systems are dependent on the language of user. However, if idea is to create an all-inclusive and reliable system that uses speech as its input, then they should be able recognise people regardless or accent. Thus, this paper investigates effects languages speaker identification phonetic impact their performance. The experiments performed using three widely spoken which Por...