The Puzzle of Granular Computing
Studies in Computational Intelligence 138
Apolloni, Bruno/Pedrycz, Witold/Bassis, Simone et al
Erschienen am
20.08.2008, 1. Auflage 2008
Beschreibung
InhaltsangabeThe general framework.- Granule formation around data.- Part I Algorithmic Inference.- Modeling samples.- Inferring from samples.- Part II The development of Fuzzy Sets.- Construction of information granules.- Estimating Fuzzy Sets.- Part III Expanding granula into boolean functions.- The clustering problem.- Suitably representing data.- Part IV Directing populations.- The main paradigms of social computation.- If also ants are able.- Part V Granular constructs.- Granular Constructs.- Identifying fuzzy rules.- A conceptual synthesis.
Produktsicherheitsverordnung
Hersteller: Springer Verlag GmbH
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Autorenportrait
InhaltsangabeThe General Framework.- Granule Formation Around Data.- I: Algorithmic Inference.- Modeling Samples.- Inferring from Samples.- II: The Development of Fuzzy Sets.- Construction of Information Granules: From Data and Perceptions to Information Granules.- Estimating Fuzzy Sets.- III: Expanding Granula into Boolean Functions.- The Clustering Problem.- Suitably Representing Data.- IV: Directing Populations.- The Main Paradigms of Social Computation.- If also Ants Are Able.- V: Granular Constructs.- Granular Constructs.- Identifying Fuzzy Rules.- A Conceptual Synthesis.- Knowledge Engineering.
Inhalt
The general framework.- Granule formation around data.- Part I Algorithmic Inference.- Modeling samples.- Inferring from samples.- Part II The development of Fuzzy Sets.- Construction of information granules.- Estimating Fuzzy Sets.- Part III Expanding granula into boolean functions.- The clustering problem.- Suitably representing data.- Part IV Directing populations.- The main paradigms of social computation.- If also ants are able.- Part V Granular constructs.- Granular Constructs.- Identifying fuzzy rules.- A conceptual synthesis.
