Measuring the Incoherent Information in Multi-adjoint Normal Logic Programs

被引：4
|
作者：
Eugenia Cornejo, M. [1 ]
Lobo, David [1 ]
Medina, Jesus [1 ]
机构：
[1] Univ Cadiz, Dept Math, Cadiz, Spain
来源：
ADVANCES IN FUZZY LOGIC AND TECHNOLOGY 2017, VOL 1 | 2018年 / 641卷
关键词：
Multi-adjoint normal logic program; Coherence interpretation; Incoherence measure; SEMANTICS;
D O I：
10.1007/978-3-319-66830-7_47
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Databases usually contain incoherent information due to, for instance, the presence of noise in the data. The detection of the incoherent information is an important challenge in different topics. In this paper, we will consider a formal notion for this kind of information and we will study different measures in order to detect incoherent information in a general fuzzy logic programming framework. As a consequence, we can highlight some irregular data in a multi-adjoint normal logic program and so, in other useful and more particular frameworks.
引用
收藏
页码：521 / 533
页数：13
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