Soft Computing refers to the science of reasoning, thinking and deduction that recognizes and uses the real world phenomena of grouping, memberships, and classification of various quantities under study. As such, it is an extension of natural heuristics and capable of dealing with complex systems because it does not require strict mathematical definitions and distinctions for the system compone...

This special session is aimed at discussing recent and novel fuzzy methods to deal with the current challenges on machine learning. This research field is very active due to the large number of real-world problems that can be faced using techniques of this field. The canonical problems of this area of research are classification, regression and clustering. However, in recent years there are a g...

A b s t r a c t O n e w a y t o c o n t r a s t t h e b

The effort invested in a software project is probably one of the most important and most analyzed variables in recent years in the process of project management. The limitation of algorithmic effort prediction models is their inability to cope with uncertainties and imprecision surrounding software projects at the early development stage. More recently attention has turned to a variety of machi...

As the popularity and usage of Internet increases all over the world, security issues have also become very essential that have to be considered. In literature, different techniques from various disciplines have been utilized to develop efficient security methods but those techniques always have some shortcomings. In this chapter the author discuss soft computing techniques that have been appli...

To enhance and improve the interoperability of meteorological Web Services, we are currently developing an Integrated Web Services Brokering System (IWB). IWB uses a case-based classifier to automatically discover Web Services. In this paper, we explore the use of rough set techniques for selecting features prior to classification. We demonstrate the effectiveness of this feature technique by c...

In 4G cellular system, due to the mobility, proper handoff or handover management is critical to ensure seamless migration from one cell to another cell. Besides of maintaining the connection quality during a handover process, any advanced handover algorithms which can minimize required resources for the connection are critical. When connections need to migrate between heterogeneous networks fo...

Spatial database systems and geographical information systems are currently only able to support geographical applications that deal with only crisp spatial objects, that is, objects whose extent, shape, and boundary are precisely determined. Examples are land parcels, school districts, and state territories. However, many new, emerging applications are interested in modeling and processing geo...

Image Denoising is one of the existing problems in research area. This paper presents an interactive algorithm for image Denoising and segmentation. This paper explains the task of segmenting any given color image using soft computing techniques. The segmentation techniques used are Fuzzy Clustering (FC), Fuzzy C Means (FCM) clustering and Convolutional Networks (CN). After the image is segment...

The modern science is still striving to develop consciousness-based machine. The forecasting is an intuition-based or consciousness-based problem. It is an important problem for planning, decision-making and designing of an appropriate controller for the systems. The paper deals with the synergism of soft computing techniques mainly artificial neural network, fuzzy logic systems, and genetic al...