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The satisfiability is a decision problem that belongs to NP-complete class and has significant applications in various areas of computer science. Several works have proposed high-performance algorithms and solvers to explore the space of variables and look for satisfying assignments. Pedrycz, Succi and Shai (2002) have studied a fuzzy-genetic approach which demonstrates that a formula of variables...
Risk assessment is often done by human experts, because there is no exact and mathematical solution to the problem.Usually the human reasoning and perception process cannot be expressed precisely. This paper propose a genetic programming approach for risk assessment. Preliminary results indicate that genetic programming methods are robust and suitable for this problem when compared to other risk assessment...
Modern artilleries have the capability to hit targets with high level of accuracy. However, a problem arises with the current firing procedure when neither the field observer nor the fire direction center is available to support the artillery crew with the necessary information. In this situation, the detection of environmental conditions would involve a number of uncertainties and due to this reason,...
Our previous research illustrated the design of fuzzy logic based online risk assessment for Distributed Intrusion Prediction and Prevention Systems (DIPPS) [3]. Based on the DIPPS sensors, instead of merely preventing the attackers or blocking traffic, we propose a fuzzy logic based online risk assessment scheme. This paper propose a Hierarchical Neuro-Fuzzy online Risk Assessment (HiNFRA) model...
This paper presents an automatic way of evolving hierarchical Takagi-Sugeno fuzzy systems (TS-FS). The hierarchical structure is evolved using probabilistic incremental program evolution (PIPE) with specific instructions. The fine tuning of the if - then rule's parameters encoded in the structure is accomplished using evolutionary programming (EP). The proposed method interleaves both PIPE and EP...
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