Hand sign recognition, in general, may be divided into two stages: the motion sensing, which extracts useful movement data from the signer's motion; and the classification process, which classifies the movement data as a sign. We have developed a prototype of the Hand Sign Classification (HSC) system that classifies a series of the full degrees-of-freedom kinematic data of a hand into sign lang...

In intelligent systems where fuzzy rule base and reasoning mechanism are applied, like fuzzy control systems, decision support and expert systems, one of the key issues is the problem of aggregation of information represented by membership functions. Since the pioneering work of Prof. Lotfi Zadeh [21] a great number of fuzzy connectives, aggregation operators have been introduced. The results o...

In this paper a noble method of fault locating in a radial power distribution system is discussed. Fuzzy system will ease the calculation involved. The history associated with fault occurred in power system can be effectively used as a strong database. This database will act as the trainer to the fuzzy expert system. A rich history of faulty area will enhance the performance of the fuzzy fault ...

In this paper it is analyzed, how the proceeding commonly used in fuzzy control can be applied to non-technical expert systems. The new ideas are explained by means of a system for checking the credit solvency of small business firms. Additionally we present some results received from working on expert systems which support analytic procedures of auditors.

In his pioneering papers, Igor Zaslavsky started an algorithmic (constructivist) analysis of fuzzy logic. In this paper, we extend this analysis to fuzzy mathematics and fuzzy data processing. Specifically, we show that the two mathematically equivalent representations of a fuzzy number – by a membership function and by α-cuts – are not algorithmically equivalent, and only the α-cut representat...