Multiargument Relationships in Possibilistic Databases

被引:0
|
作者
Myszkorowski, Krzysztof [1 ]
机构
[1] Lodz Univ Technol, Inst Informat Technol, Lodz, Poland
关键词
Possibilistic databases; Possibility distribution; Fuzzy implication operator; n-ary relationships; Fuzzy functional dependencies; FUZZY FUNCTIONAL-DEPENDENCIES;
D O I
10.1007/978-3-319-18422-7_13
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In the paper we consider the possible coexistence of associations between k < n attributes of the n-ary relationship. The analysis is carried out using the theory of functional dependencies. We assume that attribute values are represented by means of possibility distributions. According to the representation of data the notion of fuzzy functional dependency has been appropriately extended. Its level is evaluated with the use of possibility and necessity measures. The dependencies between all n attributes describe the integrity constraints of the n-ary relationship and must not be infringed. They constitute a restriction for dependencies of fewer attributes. The paper formulates the rules to which fuzzy functional dependencies between (n-1) attributes of the n-ary relationship must be subordinated.
引用
收藏
页码:147 / 156
页数:10
相关论文
共 50 条
  • [31] A based-rectangles algorithm for discovering relationships in databases
    Ben Yahia, S
    Jaoua, A
    [J]. COMPUTATIONAL INTELLIGENCE FOR MODELLING, CONTROL & AUTOMATION - INTELLIGENT IMAGE PROCESSING, DATA ANALYSIS & INFORMATION RETRIEVAL, 1999, 56 : 229 - 234
  • [32] Dynamic relationships and their propagation attributes in object oriented databases
    Sapir, A
    Gudes, E
    [J]. NINTH INTERNATIONAL WORKSHOP ON DATABASE AND EXPERT SYSTEMS APPLICATIONS, PROCEEDINGS, 1998, : 967 - 974
  • [33] Support for modeling relationships in object-oriented databases
    Beraha, Sabina
    Su, Jianwen
    [J]. Data and Knowledge Engineering, 1999, 29 (03): : 227 - 257
  • [34] Bioactivity estimations based on relationships in CAS databases.
    Fisanick, W
    Bangert, TE
    [J]. ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 1998, 215 : U508 - U508
  • [35] Mining public databases for structure-activity relationships
    Wendt, Bernd
    Uhrig, Ulrike
    Wang, Lei
    [J]. ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2009, 237
  • [36] An approach to mining local causal relationships from databases
    He, YB
    Geng, Z
    Liang, X
    [J]. ADVANCED DATA MINING AND APPLICATIONS, PROCEEDINGS, 2005, 3584 : 51 - 58
  • [37] Efficiently computing weighted proximity relationships in spatial databases
    Lin, XM
    Zhou, XM
    Liu, CF
    Zhou, XF
    [J]. ADVANCES IN WEB-AGE INFORMATION MANAGEMENT, PROCEEDINGS, 2001, 2118 : 279 - 290
  • [38] Cataloging the relationships between proteinsA review of interaction databases
    Carol Rohl
    Yancey Price
    Tiffany B. Fischer
    Milissa Paczkowski
    Michael F. Zettel
    Jerry Tsai
    [J]. Molecular Biotechnology, 2006, 34 : 69 - 93
  • [39] A Novel Meta Database for Relationships Between Bioinformatics Databases
    Richardson, Emily
    Yang, Yingjie
    Hall, John
    [J]. IJCNN: 2009 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1- 6, 2009, : 1672 - +
  • [40] A Semantic Approach to Uncovering Implicit Relationships in Textual Databases
    Vasques, Dildre G.
    Rezende, Solange O.
    Martins, Paulo S.
    [J]. 2018 XLIV LATIN AMERICAN COMPUTER CONFERENCE (CLEI 2018), 2018, : 490 - 499