Possibilistic logic bases and possibilistic graphs

被引:0
|
作者
Benferhat, S [1 ]
Dubois, D [1 ]
Garcia, L [1 ]
Prade, H [1 ]
机构
[1] Univ Toulouse 3, IRIT, F-31062 Toulouse, France
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Possibilistic logic bases and possibilistic graphs are two different frameworks of interest for representing knowledge. The former stratifies the pieces of knowledge (expressed by logical formulas) according to their level of certainty, while the latter exhibits relationships between variables. The two types of representations are semantically equivalent when they lead to the same possibility distribution (which rank-orders the possible interpretations). A possibility distribution can be decomposed using a chain rule which may be based on two different kinds of conditioning which exist in possibility theory tone based on product in a numerical setting, (one based on minimum operation in a qualitative setting). These two types of conditioning induce two kinds of possibilistic graphs. In both cases, a translation of these graphs into possibilistic bases is provided. The converse translation from a possibilistic knowledge base into a min-based graph is also described.
引用
收藏
页码:57 / 64
页数:8
相关论文
共 50 条
  • [21] Belief Merging for Possibilistic Belief Bases
    Thi Thanh Luu Le
    Trong Hieu Tran
    ADVANCED COMPUTATIONAL METHODS FOR KNOWLEDGE ENGINEERING (ICCSAMA 2019), 2020, 1121 : 370 - 380
  • [22] On the use of possibilistic bases for local computations in product-based possibilistic networks
    Benferhat, Salem
    Smaoui, Salma
    ADVANCES IN ARTIFICIAL INTELLIGENCE, 2007, 4509 : 356 - +
  • [23] Measuring conflict and agreement between two prioritized knowledge bases in possibilistic logic
    Qi, Guilin
    Liu, Weiru
    Bell, David
    FUZZY SETS AND SYSTEMS, 2010, 161 (14) : 1906 - 1925
  • [24] A Relationship between the Probabilistic Logic and the Possibilistic Logic
    Thanh, D. V.
    Computers and Artificial Intelligence, 17 (01):
  • [25] A Framework for Merging Possibilistic Knowledge Bases
    Thi Thanh Luu Le
    INTELLIGENT INFORMATION AND DATABASE SYSTEMS, ACIIDS 2019, PT II, 2019, 11432 : 65 - 76
  • [26] Comparing and Weakening Possibilistic Knowledge Bases
    Bouzar-Benlabiod, Lydia
    Benferhat, Salem
    Bouabana-Tebibel, Thouraya
    INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS, 2014, 22 (02) : 181 - 203
  • [27] Encoding Markov Logic Networks in Possibilistic Logic
    Kuzelka, Ondrej
    Davis, Jesse
    Schockaert, Steven
    UNCERTAINTY IN ARTIFICIAL INTELLIGENCE, 2015, : 454 - 463
  • [28] Extending possibilistic logic over Godel logic
    Dellunde, Pilar
    Godo, Lluis
    Marchioni, Enrico
    INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2011, 52 (01) : 63 - 75
  • [29] Merging Possibilistic Belief Bases by Argumentation
    Thi Hong Khanh Nguyen
    Trong Hieu Tran
    Tran Van Nguyen
    Thi Thanh Luu Le
    INTELLIGENT INFORMATION AND DATABASE SYSTEMS, ACIIDS 2017, PT I, 2017, 10191 : 24 - 34
  • [30] A relationship between the probabilistic logic and the possibilistic logic
    Thanh, DV
    COMPUTERS AND ARTIFICIAL INTELLIGENCE, 1998, 17 (01): : 51 - 68