This research monograph proposes a unified, cross-fertilizing approach for knowledge-representation and modeling based on lattice theory. The emphasis is on clustering, classification, and regression applications. It presents novel tools and useful perspectives for effective pattern classification. The material is multi-disciplinary based on on-going research published in major scientific journals and conferences.Heijmans HJAM, Goutsias J (2000) Nonlinear multiresolution signal decomposition schemes. II. morphological wavelets. IEEE Trans Image Processing 9(11): 1897-1913. Heilpern S (1997) Representation and application of fuzzy numbers.
|Title||:||Towards a Unified Modeling and Knowledge-Representation based on Lattice Theory|
|Author||:||Vassilis G. Kaburlasos|
|Publisher||:||Springer Science & Business Media - 2007-02-07|