Due to the advances in Computer Science and Information Technology currently it is easy to collect, store and analyse the data. Soft Computing is a multidisciplinary field that was proposed by Dr. Lotfi Zadeh, whose goal was to construct new generation Artificial Intelligence, known as Computational Intelligence. The idea of soft computing was initiated in the year 1981 when Dr. Zadeh published his first paper on soft data analysis. This paper proposes to be performed for the analysis of data using soft computing models. Initially soft computing has been defined as the fusion of the fields of Fuzzy logic, Neuro computing, Evolutionary and Genetic computing into one multidisciplinary system. In this paper, research work related to the use of soft computing and statistical models has been made with an objective of prediction of information.
The main objective of the research work is to develop an integrated system that is capable of extracting precise information (knowledge) based on some stored information using the techniques of data mining and soft computing.
For the purpose of extracting precise information based on some stored information, it has been further observed that the research work related to the area of knowledge discovery based on certain information with the help of a particular data mining or soft computing model has been done but the performance based on the particular soft computing or data mining model has not been reviewed as compared to the other models. The comparison of performance of various models in the area of soft computing domain or statistical domain or data mining area have been remained unattended with limitation of survey. This absence leads to the necessity and carrying out research work for effective knowledge discovery based on a particular set of information on utilizing the versatile and potential view generation tools like AI (Artificial Intelligence), ANN (Artificial Neural Network), GA (Genetic Algorithm), ACO (Ant Colony Optimization), PSO (Particle Swarm Optimization), ABC (Artificial Bee Colony Optimization), HS (Harmony Search), DEA (Differential Evolution Algorithm), TS (Tabu Search) and SA (Simulating Annealing).