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  1. Multiple Model Estimation for Nonlinear Classification

    This chapter describes a new method for nonlinear classification using a collection of several simple (linear) classifiers. The approach is based on...
    Y. Ma, V. Cherkassky in Support Vector Machines: Theory and Applications
    Chapter

  2. Introduction

    Genetic algorithms (GAs) are powerful search techniques based on principles of evolution. They are now widely applied to solve problems in many...
    Ying-** Chen in Extending the Scalability of Linkage Learning Genetic Algorithms
    Chapter

  3. Linkage Learning Genetic Algorithm

    In order to handle linkage evolution and to tackle the ordering problem, Harik [47] took Holland’s call [53] for the evolution of tight linkage quite...
    Ying-** Chen in Extending the Scalability of Linkage Learning Genetic Algorithms
    Chapter

  4. Lattices of Fuzzy Subgroups

    Many results concerning relationships between classes of crisp subsets can be carried over to similar relationships between classes of fuzzy subsets....
    John N. Mordeson, Kiran R. Bhutani, Azriel Rosenfeld in Fuzzy Group Theory
    Chapter

  5. A Probabilistic Logic-based Framework for Characterizing Knowledge Discovery in Databases

    In order to further improve the KDD process in terms of both the degree of automation achieved and types of knowledge discovered, we argue that a...
    Ying **e, Vijay V. Raghavan in Foundations of Data Mining and knowledge Discovery
    Chapter

  6. Direct Products of Fuzzy Subgroups and Fuzzy Cyclic Subgroups

    In Chapter 6, a necessary and sufficient condition for a fuzzy subgroup to be a weak direct sum of fuzzy subgroups was obtained by employing known...
    John N. Mordeson, Kiran R. Bhutani, Azriel Rosenfeld in Fuzzy Group Theory
    Chapter

  11. Summary and Conclusions

    The first objective of this book is to explain how many systems naturally become fuzzy systems. The second objective is to show how regular (crisp)...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter

  12. Optimizing a Production Line

    The simple production line considered in this chapter is shown in Fig. 20.1. This problem has been adapted from an example in [1]. This situation is...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter

  13. Simulation Programs

    In this chapter we present some of the GPSS programs used in Chaps. 9–26. We had to omit many programs in order to keep this chapter. less that 20...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter

  14. Queuing II: No One-Step Calculations

    In this chapter we will study the fuzzy system shown in Fig. 5.1 now reproduced as Fig. 9.1. This example was adapted from an example in [1]. The...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter

  15. Simulation

    Now we come to the point were we need to select simulation software to do all the crisp simulations staring in Chap. 7. The author is not an expert...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter

  16. Cancer Classification with Microarray Data Using Support Vector Machines

    Microarrays (Schena et al. 1995) are also called gene chips or DNA chips. On a microarray chip, there are thousands of spots. Each spot contains the...
    Feng Chu, Lipo Wang in Bioinformatics Using Computational Intelligence Paradigms
    Chapter

  17. Fuzzy Caley's Theorem and Fuzzy Lagrange's Theorem

    We begin our discussion with properties of normal fuzzy subgroups. Fuzzy analogs of some group theoretic concepts such as cosets, characteristic...
    John N. Mordeson, Kiran R. Bhutani, Azriel Rosenfeld in Fuzzy Group Theory
    Chapter

  18. A Bus Stop

    We have plenty of complaints about a certain bus stop. People can not get on the bus because when it stops it is already too crowded. We could add...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter

  19. Bank Teller Problem

    This is a classical problem in queuing theory: should there be multiple queues, one for each teller in a bank, or should we have one single queue for...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter

  20. Genetic Algorithms and Genetic Linkage

    This chapter provides a summary of fundamental materials on genetic algorithms. It presents definitions of genetic algorithm terms and briefly...
    Ying-** Chen in Extending the Scalability of Linkage Learning Genetic Algorithms
    Chapter
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