This issue of International Journal of Intelligent Systems includes extended versions of selected papers from the 4th International Conference on Soft Computing, held in Iizuka, Japan, September 30]October 5, 1996. The topic of the special issue is ‘‘Hybrid Intelligent Adaptive Systems.’’ Research on hybrid systems is one of the key issues of developing intelligent systems and it can apply a wi...

In Mobile ad hoc Networks (MANETs), the packet scheduling process is considered major challenge because of error-prone connectivity among mobile nodes that introduces intolerable delay and insufficient throughput with high loss. this paper, a Modified Firefly Optimization Algorithm improved Fuzzy Scheduler-based Packet Scheduling (MFPA-FSPS) Mechanism proposed for sustaining Quality Service (Qo...

In recent years, much work has been constructed in the area of tool development in order to ease a network administrator’s job. However, there lack tools to collect and process flow data efficiently. This paper discusses the usage of network traffic properties in passive network monitoring which are used in recognizing and identifying anomaly. A fuzzy based diagnostic system imbedded with prope...

This paper presents a hybrid filter for denoising and enhancing digital image in situation where the image is corrupted by salt and pepper noise. Image denoising and enhancement are important preprocessing and post processing steps in image analysis. Successful results of image analysis extremely depend on image enhancement. There are several filters have been illustrated till date. But they ar...

Intelligent Transportation Systems (ITS) has gain a lot of popularity due to much technological advancement in Vehicular Ad hoc Networks (VANETs). VANET provides safety and entertainment services to vehicle users. Therefore, constrained safety is a prominent feature for VANETs. Since the vehicular nodes typically moves fast than the nodes movement in other network such as Mobile Ad hoc Networks...

An evolving cascade neuro-fuzzy system and its online learning procedure are proposed in this paper. The system is based on nodes of a special type. A quality estimation process is defined by finding an optimal value of the used cluster validity index. Keywords— Evolving cascade system, neuro-fuzzy network, data stream, fuzzy clustering.

This work introduces an approach for taking into account the uncertainty of pipe friction coefficients and nodal demands in the hydraulic analysis of water supply networks. For this purpose, uncertainties are represented by fuzzy numbers and incorporated into the network's governing equations. Input uncertainties are spread out on the network and influence its hydraulic responses, including pip...

This paper introduces an intelligent system for monitoring and recognition of process disturbances during short-circuiting gas–metal arc welding. It is based on the measured and statistically processed data of welding electrical parameters. A 12-dimensional array of process features is designed to describe various welding conditions and is employed as input vector of the intelligent system. Thr...