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)
—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(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 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)
Entity authentication and key distribution are very important cryptographic problems in mobile communication or in ad-hoc networks or in wireless communication at large. Mutual entity authentication is seen as the necessary process to the establishment of a secure and authentic connection. For a reliable secure communication, mutual entity authentication is(More)
Steganography conceals the very existence of the message by engrafting it inside a carrier file of some type. In this paper, payload image is distributed into three different images; Normalized Error (NE), Error Factor (EF) and Sign Map (SM) by using the primary cover image. These three images are then embedded in a secondary cover image by using an(More)