slugStudy of Existing Work on Soft Computing Methodologies and Fusion of Neural Network and Fuzzy Logic for Estimation and Approximation
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2014, Vol 2, Issue 5
Abstract
Estimation and Approximation plays a vital role in planning for future. It is up to the people, especially the business leaders to take its due advantage. Those who understand the significance of estimation, practice it very often. When performed correctly, the act of estimation or approximation of some event can lend a hand in increasing business profitability. These tasks involve analyzing historical data pertaining to domain, current trends and expectations of people connected to it.Exercising estimation is not only complicated due to technological change in the world around, but also due to complexity of the problems. Traditional numerical based techniques for solution of ill-defined non-linear real world problems are not sufficient. Hence, a robust methodology which can deal with dynamic environment, imprecise facts and uncertainty in the available data is required to achieve practical applicability at low cost. The last decade has seen vast improvement in terms of technological advancement. This has given space to methodologies which mimic human behavior and are based on human like capabilities cognition, recognition, understanding, and learning. Soft computing seeks to solve class of problems not suited for traditional algorithmic approaches. A literature study of the most important elements of soft computing relevant to estimation and approximation has been presented.
Authors and Affiliations
Nidhi Arora, JatinderKumar R. Saini
Keywords
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