Title Details: | |
Lattice Theory in Computational Intelligence |
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Authors: |
Kampourlazos, Vasileios Papakostas, Georgios |
Reviewer: |
Kechagias, Athanasios |
Subject: | MATHEMATICS AND COMPUTER SCIENCE > COMPUTER SCIENCE > INTELLIGENT SYSTEMS |
Description: | |
Abstract: |
This chapter aims to describe a unification in Extended Computational Intelligence by integrating disparate data types. Specifically, this unification is grounded in the Theory of Order or equivalently in Lattice Theory, as the aforementioned data types are partially ordered. The chapter summarizes concepts and mathematical tools from Lattice Theory that will be useful moving forward. Apart from fundamental mathematical concepts, particular emphasis is placed on presenting real functions such as "valuation functions" or "length functions," which ultimately enable the definition of distance functions and order degrees. This will facilitate the processing of lattice elements by performing numerical operations among real numbers.
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Linguistic Editors: |
Violitzi, Georgia |
Type: |
Chapter |
Creation Date: | 2015 |
Item Details: | |
License: |
http://creativecommons.org/licenses/by-nc-nd/3.0/gr |
Handle | http://hdl.handle.net/11419/3450 |
Bibliographic Reference: | Kampourlazos, V., & Papakostas, G. (2015). Lattice Theory in Computational Intelligence [Chapter]. In Kampourlazos, V., & Papakostas, G. 2015. Introduction to Computational Intelligence [Undergraduate textbook]. Kallipos, Open Academic Editions. https://hdl.handle.net/11419/3450 |
Language: |
Greek |
Is Part of: |
Introduction to Computational Intelligence |
Number of pages |
31 |
Publication Origin: |
Kallipos, Open Academic Editions |