Belief Merging for Possibilistic Belief Bases

被引：0
|
作者：
Thi Thanh Luu Le [1 ,2 ]
Trong Hieu Tran [2 ]
机构：
[1] Univ Finance & Accountancy, Quangngai, Vietnam
[2] VNU Univ Engn & Technol, Hanoi, Vietnam
来源：
ADVANCED COMPUTATIONAL METHODS FOR KNOWLEDGE ENGINEERING (ICCSAMA 2019) | 2020年 / 1121卷
关键词：
Belief merging; Possibilistic logic; Prioritized belief base; KNOWLEDGE BASES; FUSION;
D O I：
10.1007/978-3-030-38364-0_33
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Belief merging has received much attention from the research community with a large range of applications in Computer Science and Artificial Inteligence. In this paper, we represent a new belief merging approach for prioritized belief bases. The main idea of this method is to use two operators, namely connective strong operator and averagely increasing operator to merge possibilistic belief bases. By this way, the proposed method allows to keep more useful beliefs, which may be lost in other methods because of drowning effect. The logical properties of merging result are also analyzed and discussed.
引用
收藏
页码：370 / 380
页数：11
相关论文
共 50 条
  • [1] Merging Possibilistic Belief Bases by Argumentation
    Thi Hong Khanh Nguyen
    Trong Hieu Tran
    Tran Van Nguyen
    Thi Thanh Luu Le
    [J]. INTELLIGENT INFORMATION AND DATABASE SYSTEMS, ACIIDS 2017, PT I, 2017, 10191 : 24 - 34
  • [2] Merging Belief Bases by Negotiation
    Trong Hieu Tran
    Quoc Bao Vo
    Kowalczyk, Ryszard
    [J]. KNOWLEDGE-BASED AND INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT I: 15TH INTERNATIONAL CONFERENCE, KES 2011, 2011, 6881 : 200 - 209
  • [3] Merging Belief Bases Represented by Logic Programs
    Hue, Julien
    Papini, Odile
    Wuerbel, Eric
    [J]. SYMBOLIC AND QUANTITATIVE APPROACHES TO REASONING WITH UNCERTAINTY, PROCEEDINGS, 2009, 5590 : 371 - +
  • [4] Argumentation Framework for Merging Stratified Belief Bases
    Trong Hieu Tran
    Thi Hong Khanh Nguyen
    Quang Thuy Ha
    Ngoc Trinh Vu
    [J]. INTELLIGENT INFORMATION AND DATABASE SYSTEMS, ACIIDS 2016, PT I, 2016, 9621 : 43 - 53
  • [5] An Axiomatic Model for Merging Stratified Belief Bases by Negotiation
    Trong Hieu Tran
    Quoc Bao Vo
    [J]. COMPUTATIONAL COLLECTIVE INTELLIGENCE - TECHNOLOGIES AND APPLICATIONS, PT I, 2012, 7653 : 174 - 184
  • [6] On the Compilation of Stratified Belief Bases under Linear and Possibilistic Logic Policies
    Benferhat, Salem
    Yahi, Safa
    Drias, Habiba
    [J]. 20TH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2007, : 2424 - 2429
  • [7] On operations of possibilistic belief structures
    Li, Lei
    Li, Zhi
    [J]. INFORMATION SCIENCES, 2019, 472 : 94 - 106
  • [8] On Egalitarian Belief Merging
    Everaere, Patricia
    Konieczny, Sebastien
    Marquis, Pierre
    [J]. FOURTEENTH INTERNATIONAL CONFERENCE ON THE PRINCIPLES OF KNOWLEDGE REPRESENTATION AND REASONING, 2014, : 121 - 130
  • [9] On Consensus in Belief Merging
    Schwind, Nicolas
    Marquis, Pierre
    [J]. THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2018, : 1949 - 1956
  • [10] Belief Merging by Examples
    Liberatore, Paolo
    [J]. ACM TRANSACTIONS ON COMPUTATIONAL LOGIC, 2016, 17 (02)
12345