IMI-BAS BAS
 

BulDML at Institute of Mathematics and Informatics >
ITHEA >
International Book Series Information Science and Computing >
2008 >
Book 1 Algorithmic and Mathematical Foundations of the Artificial Intelligence >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/998

Title: Non-Linear Network-Flow Model of Lukasiewicz’s Multivalue Logic
Authors: Sgurev, Vassil
Kojnov, Stefan
Keywords: Łukasiewicz’s Multivalue Logic
Operational Research
Network Flow Interpretation
Issue Date: 2008
Publisher: Institute of Information Theories and Applications FOI ITHEA
Abstract: The paper presents a new network-flow interpretation of Łukasiewicz’s logic based on models with an increased effectiveness. The obtained results show that the presented network-flow models principally may work for multivalue logics with more than three states of the variables i.e. with a finite set of states in the interval from 0 to 1. The described models give the opportunity to formulate various logical functions. If the results from a given model that are contained in the obtained values of the arc flow functions are used as input data for other models then it is possible in Łukasiewicz’s logic to interpret successfully other sophisticated logical structures. The obtained models allow a research of Łukasiewicz’s logic with specific effective methods of the network-flow programming. It is possible successfully to use the specific peculiarities and the results pertaining to the function ‘traffic capacity of the network arcs’. Based on the introduced network-flow approach it is possible to interpret other multivalue logics – of E.Post, of L.Brauer, of Kolmogorov, etc.
URI: http://hdl.handle.net/10525/998
ISSN: 1313-0455
Appears in Collections:Book 1 Algorithmic and Mathematical Foundations of the Artificial Intelligence

Files in This Item:

File Description SizeFormat
IBS-01-p01.pdf170.7 kBAdobe PDFView/Open

 



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0!   Creative Commons License DSpace Software Copyright © 2002-2009  The DSpace Foundation - Feedback