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Titlebook: Recent Advances in Intelligent Paradigms and Applications; Ajith Abraham,Lakhmi C. Jain,Janusz Kacprzyk Book 2003 Springer-Verlag Berlin H

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An Intuitionistic Fuzzy Set Based Approach to Intelligent Data Analysis: An Application to Medical freedom in comparison with fuzzy sets (Zadeh [14]), can be viewed as their generalization Employing intuitionistic fuzzy sets, we can simply and adequately express a hesitation concerning the objects considered — both patients and illnesses. Solution is obtained by looking for the smallest distance
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Neuro-Fuzzy Methods for Modeling and Identification,hich can be used to improve control performance and achieve robust fault-tolerant behavior. Among the different nonlinear identification techniques, methods based on neuro-fuzzy models are gradually becoming established not only in the academia but also in industrial applications. Neuro-fuzzy modeli
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Constrained Two Dimensional Bin Packing Using a Genetic Algorithm,k. A novel penalty function method is proposed for checking the solution strings that have violated the loading area’s aspect constraints. This method penalizes the solution strings based on the extent by which they violate the length and breadth constraints. The proposed genetic algorithm is compar
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Sequential and Distributed Evolutionary Algorithms for Combinatorial Optimization Problems,lems. In particular, a generational, a steady-state, a cellular genetic algorithm, and their distributed versions were applied to the maximum cut problem, the error correcting code design problem, and the minimum tardy task problem. The algorithms were tested on a total of seven problem instances. T
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