Expert System Development for Retrieval of Missing Data through Soft Computing Techniques

Abstract

Making decision processes are highly dependent on the availability of data, from which newlineinformation can be extracted. All engineering, business and economic decisions are somehow newlinerelated to the information available at the time of creating such decisions. It is for this reason that newlinethe problem of missing data affects a variety of research and application areas in fields such as newlinescientific, engineering, economics, finance and many more. Most predictive and decision making newlinemodels designed to use a specified number of values will breakdown when one or more values are newlinenot available. newlineInformation plays a very important role in our life. Advances in many research field depend on the newlineability of discovering knowledge in very large data bases. A lot of businesses base their success on newlinethe availability of marketing information. This kind of data is usually big, and not always easy to newlinemanage. newline