in practice, foundations are settled on the soft layers of soil, so the ground must be designed as well as the structure. wave propagation and hysteresis damping of soil layers may alter the seismic response of flexible-base design in comparison to controversial fixed-base. lots of uncertainties about this issue, necessitate most of seismic design standards including iranian standard no. 2800 t...

We will present a new approach to the problem of the Medical Expert Systems Validation. This method is based on the central role played by the conflicts base introduced by the experts in the appearance of potential conflicts, reducing the problem to the capture of the deductive closure of these conflicts base. The method is illustrated in a simple case: a knowledge base with a rule base modeled...

Wireless Sensor Networks (WSNs) are consists of huge number of sensor nodes, restricted with limited power, for provide services with cooperation to sense data and send to server. Various routing techniques are introduced for managing data transmission in WSNs in last decade. This work proposes novel method with compare distance of sensor nodes to base station in heterogeneous WSN. The sensor n...

In this contribution, we propose a new method to automatically learn the Knowledge Base of a Fuzzy Rule-Based System by ®nding an appropriate Data Base using a Genetic Algorithm and considering a simple generation method to derive the Rule Base. Our genetic process learns all the components of the Data Base (number of labels, working ranges and membership function shapes for each linguistic var...

We are developing a method to design a “creative and emotional motion” that resonates with deep feelings that are difficult to describe verbally. In previous studies, we developed a method of designing motions by combining base motions which expressed the designer’s feelings. This method may be applied to animated logos, etc. However, how base motions should be selected was not discussed. In th...

This paper describes a method for formal compression of fuzzy systems. This method compresses a fuzzy system with an arbitrarily large number of rules into a smaller fuzzy system by removing the redundancy in the fuzzy rule base. As a result of this compression, the number of on-line operations during the fuzzy inference process is significantly reduced without compromising the solution. This r...