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http://worldcat.org/entity/work/id/801692024

Classification and modeling with linguistic information granules : advanced approaches to linguistic data mining

Whereas computer systems can easily handle even complicated and nonlinear mathematical models, human information processing is mainly based on linguistic knowledge. So the main advantage of using linguistic terms even with vague ranges is the intuitive interpretability of linguistic rules. Ishibuchi and his coauthors explain how classification and modeling can be handled in a human-understandable manner. They design a framework that can extract linguistic knowledge from numerical data by first identifying linguistic terms, then combining these terms into linguistic rules, and finally constructi.

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  • "Whereas computer systems can easily handle even complicated and nonlinear mathematical models, human information processing is mainly based on linguistic knowledge. So the main advantage of using linguistic terms even with vague ranges is the intuitive interpretability of linguistic rules.Ishibuchi and his coauthors explain how classification and modeling can be handled in a human-understandable manner. They design a framework that can extract linguistic knowledge from numerical data by first identifying linguistic terms, then combining these terms into linguistic rules, and finally constructing a rule set from these linguistic rules. They combine their approach with state-of-the-art soft computing techniques such as multi-objective genetic algorithms, genetics-based machine learning, and fuzzified neural networks. Finally they demonstrate the usability of the combined techniques with various simulation results."
  • "Whereas computer systems can easily handle even complicated and nonlinear mathematical models, human information processing is mainly based on linguistic knowledge. So the main advantage of using linguistic terms even with vague ranges is the intuitive interpretability of linguistic rules. Ishibuchi and his coauthors explain how classification and modeling can be handled in a human-understandable manner. They design a framework that can extract linguistic knowledge from numerical data by first identifying linguistic terms, then combining these terms into linguistic rules, and finally constructi."@en

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  • "Ressources Internet"
  • "Classification"
  • "Classification"@en
  • "Electronic books"
  • "Electronic books"@en

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  • "Classification and modeling with linguistic information granules : advanced approaches to linguistic data mining"@en
  • "Classification and modeling with linguistic information granules : advanced approaches to linguistic data mining"
  • "Classification and Modeling with Linguistic Information Granules: Advanced Approaches to Linguistic Data Mining. Advanced Information Processing"
  • "Classification and modeling with linguistic information granules advanced approaches to linguistic data mining"
  • "Classification and modeling with linguistic information granules advanced approaches to linguistic data mining"@en
  • "Classification and Modeling with Linguistic Information Granules Advanced Approaches to Linguistic Data Mining"@en
  • "Classification and Modeling with Linguistic Information Granules Advanced Approaches to Linguistic Data Mining"
  • "Classification and Modeling with Linguistic Information Granules : Advanced Approaches to Linguistic Data Mining"

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