Models of representation of fuzzy temporal knowledge in databases of temporal series

被引：2
|
作者：
Bernshtein, L. S. [3 ]
Kovalev, S. M. [1 ]
Muravskii, A. V. [2 ]
机构：
[1] Rostov On Don State Univ Commun Lines, Rostov Na Donu, Russia
[2] Fed State Unitary Enterprise State Sci Res Inst A, Rostov Na Donu, Russia
[3] Taganrog Inst Radio Engn, Taganrog 347915, Russia
来源：
JOURNAL OF COMPUTER AND SYSTEMS SCIENCES INTERNATIONAL | 2009年 / 48卷 / 04期
基金：
俄罗斯基础研究基金会;
关键词：
Speech Signal; System Science International; Fuzziness Concept; Input Signal Output Signal; Interval Relation;
D O I：
10.1134/S1064230709040169
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
the problem of representation of fuzzy knowledge in databases of temporal series is considered. The existing approaches to formalization and search of temporal knowledge in such databases are described. A new class of models for representation of fuzzy temporal knowledge in databases of time series is proposed in order to support the processes of knowledge revealing. The methodology of estimating the efficiency of representations based on the use of general-system principles of human thinking and speaking communication is presented. Based on the selected system of criteria, the advantages of the proposed class of models are substantiated.
引用
收藏
页码：625 / 636
页数：12
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