Overcoming of semantic uncertainty in criterion concepts of a procedural law based on using fuzzy inferences

被引：1

作者：

Rzayev, Ramin ^{[1
]}

Agaev, Faig ^{[1
]}

Agamaliyev, Musa ^{[1
]}

Hasanov, Vasif ^{[1
]}

机构：

[1] Azerbaijan Natl Acad Sci, Inst Control Syst, AZ-1141 Baku, Azerbaijan

来源：

12TH INTERNATIONAL CONFERENCE ON APPLICATION OF FUZZY SYSTEMS AND SOFT COMPUTING, ICAFS 2016 | 2016年 / 102卷

关键词：

Criterion concept; legal norm; fuzzy set; fuzzy relation; fuzzy conclusion;

D O I：

10.1016/j.procs.2016.09.391

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The method allowing overcoming the semantic uncertainty in criterion concepts of a procedural law is offered. As an example, it had been chosen the Article 165 - "Violation of the author's or adjacent rights" of Criminal Code of Azerbaijan Republic, which is based on the formalism for the criterion concept "extensive damage" coupled with the applied sanction. For imposition of adequate to criterion concept sentence, it is offered the scale of the possible sanctions obtained based on the description of the correspondent legal norm in terms of fuzzy implicative rules. (C) 2016 The Authors. Published by Elsevier B.V.

引用

页码：209 / 216

页数：8

共 50 条

[1] An efficient image retrieval model using fuzzy semantic concepts
Chang, Tsun-Wei
Huang, Yo-Ping
Sandnes, Frode Eika
NAFIPS 2007 - 2007 ANNUAL MEETING OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY, 2007, : 227 - +
[2] Facial expression description and recognition based on fuzzy semantic concepts
Li, Zedong
Wang, Cunrui
Liu, Xiangdong
Wang, Yuangang
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2021, 114 : 619 - 628
[3] Trustworthy Breast Ultrasound Image Semantic Segmentation Based on Fuzzy Uncertainty Reduction
Huang, Kuan
Zhang, Yingtao
Cheng, Heng-Da
Xing, Ping
HEALTHCARE, 2022, 10 (12)
[4] Three-Way Framework Using Fuzzy Concepts and Semantic Rules in Opinion Classification
Subhashini, L. D. C. S.
Li, Yuefeng
Zhang, Jinglan
Atukorale, Ajantha S.
AI 2020: ADVANCES IN ARTIFICIAL INTELLIGENCE, 2020, 12576 : 110 - 121
[5] Fuzzy Uncertainty-based Out-of-Distribution Detection Algorithm for Semantic Segmentation
Lin, Qiao
Chen, Xin
Chen, Chao
Pekaslan, Direnc
Garibaldi, Jonathan M.
2023 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, FUZZ, 2023,
[6] Semantic structuring of concepts found in scholarly literature: An empirical study using a fuzzy clustering approach
Stix, V
Uren, VS
7TH WORLD MULTICONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL VI, PROCEEDINGS: INFORMATION SYSTEMS, TECHNOLOGIES AND APPLICATIONS: I, 2003, : 144 - 148
[7] Learning disjunctive concepts based on fuzzy semantic cell models through principles of justifiable granularity and maximum fuzzy entropy
Tang, Yongchuan
Xiao, Yunsong
KNOWLEDGE-BASED SYSTEMS, 2018, 161 : 268 - 293
[8] Spike sorting using a cognitive method based on fuzzy concepts
Zhuang, Jun
Wang, Zhi-Zhong
Liang, Pei-Ji
2009 3RD INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICAL ENGINEERING, VOLS 1-11, 2009, : 1139 - 1142
[9] Feature-based approaches to semantic similarity assessment of concepts using Wikipedia
Jiang, Yuncheng
Zhang, Xiaopei
Tang, Yong
Nie, Ruihua
INFORMATION PROCESSING & MANAGEMENT, 2015, 51 (03) : 215 - 234
[10] Semantic-based Image Retrieval using Fuzzy Domain Ontology
Ren, Yuemei
Cheng, Xianyi
2008 INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY APPLICATION, VOL II, PROCEEDINGS, 2008, : 141 - +

← 1 2 3 4 5 →