Towards a Unified Modeling and Knowledge-Representation based on Lattice Theory: Computational Intelligence and Soft Computing Applications

✍ Scribed by Vassilis G. Kaburlasos

• Publisher: Springer
• Year: 2006
• Tongue: English
• Leaves: 260
• Series: Studies in Computational Intelligence
• Edition: 1
• Category: Library

✦ Synopsis

By ‘model’ we mean a mathematical description of a world aspect. With the proliferation of computers a variety of modeling paradigms emerged under computational intelligence and soft computing. An advancing technology is currently fragmented due, as well, to the need to cope with different types of data in different application domains. 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 is shown how rigorous analysis and design can be pursued in soft computing using conventional (hard computing) methods. Moreover, non-Turing computation can be pursued. The material here is multi-disciplinary based on our on-going research published in major scientific journals and conferences. Experimental results by various algorithms are demonstrated extensively. Relevant work by other authors is also presented both extensively and comparatively.

✦ Table of Contents

front-matter.pdf......Page 1
001.pdf......Page 23
003-004.pdf......Page 24
005-018.pdf......Page 26
019.pdf......Page 40
021-034.pdf......Page 41
035-062.pdf......Page 55
063-066.pdf......Page 83
067-070.pdf......Page 87
071-094.pdf......Page 91
095.pdf......Page 115
097-122.pdf......Page 116
123-140.pdf......Page 142
141-172.pdf......Page 160
173.pdf......Page 192
175-178.pdf......Page 193
179-182.pdf......Page 197
back-matter.pdf......Page 201