Surya Prakash Tripathi

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Obtaining high degree of Interpretability and Accuracy in the design of complex high dimensional fuzzy systems is contradictory in nature. It is well known by Interpretability-Accuracy (I-A) Trade-Off. Several methods have been proposed to find good I-A Trade-Off. These includes Multi objective Optimization, Context Adaptation, Hierarchical Fuzzy Modeling(More)
Interpretability and accuracy are two important features of fuzzy systems which are conflicting in their nature. One can be improved at the cost of the other and this situation is identified as “Interpretability-Accuracy Trade-Off”. To deal with this trade-off Multi-Objective Evolutionary Algorithms (MOEA) are frequently applied in the design of fuzzy(More)
Interpretability and accuracy are two important requirements during the development of fuzzy systems. This paper discusses various approaches related to the development of fuzzy systems in an Evolutionary Multiobjective Optimization (EMO) framework with good degree of interpretability and accuracy which are conflicting in their nature. This situation is(More)
Exact information has become crucial part of the modern database applications and next generation information systems to make them more human friendly. In order to deal with information inexactness, fuzzy techniques have been extensively integrated with different database models and theories. But, object oriented database systems are extremely capable to(More)
In real world computing environment, the information is not complete, precise and certain, making very difficult to derive an actual decision. To deal with processing and modeling of such information, fuzzy techniques are applied to exercise the proper conclusion. This paper focuses on the basics of Fuzzy Logic and its application in Rule Based Systems to(More)
Fuzzy systems are capable to model the inherent uncertainties in real world problems and implement human decision making. In this paper two issues related to fuzzy systems development are addressed and solutions are proposed and implemented. First issue is related to the high dimensional data sets. Such kinds of data sets lead to explode the search space of(More)
Fuzzy systems have been used in many fields like data mining, regression, patter recognition, classification and control due to their property of handling uncertainty and explaining the property of complex system without involving a specific mathematical model. Fuzzy rule based systems (FRBS) or fuzzy rule based classifiers (particularly designed for(More)
It is impossible to capture all of the semantics of real world information and to model it in a perfect way. Uncertain information being lacking information, individual interpretation of knowledge is taken into account. Most widely used relational model faced much difficulty to handle complex data requirements. The size of databases and their changing(More)
This paper reviews the relation of population, human capital formation and economic development of Madhya Pradesh from 1951 to 2011. It also examines that how developing countries like India can utilize their increasing population for the economic growth of the country. Demography variables suggest that rapid population growth would put more strain on(More)