Implementing belief function computations

被引：21
|
作者：
Haenni, R [1 ]
Lehmann, N
机构：
[1] Univ Konstanz, Ctr Jr Res Fellows, D-78457 Constance, Germany
[2] Univ Fribourg, Dept Informat, CH-1700 Fribourg, Switzerland
来源：
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS | 2003年 / 18卷 / 01期
关键词：
D O I：
10.1002/int.10073
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This article discusses several implementation aspects for Dempster-Shafer belief functions. The main objective is to propose an appropriate representation of mass functions and efficient data structures and algorithms for the two basic operations of combination and marginalization. (C) 2003 Wiley Periodicals, Inc.
引用
收藏
页码：31 / 49
页数：19
相关论文
共 50 条
  • [21] The Internal Conflict of a Belief Function
    Schubert, Johan
    BELIEF FUNCTIONS: THEORY AND APPLICATIONS, 2012, 164 : 169 - 177
  • [22] Belief Function Robustness in Estimation
    Benavoli, Alessio
    BELIEF FUNCTIONS: THEORY AND APPLICATIONS, 2012, 164 : 375 - 383
  • [23] Belief AHP Method: AHP Method with the Belief Function Framework
    Ennaceur, Amel
    Elouedi, Zied
    Lefevre, Eric
    INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, 2016, 15 (03) : 553 - 573
  • [24] ATTITUDE CHANGE AS A FUNCTION OF CHANGES IN BELIEF AND EVALUATIVE ASPECT OF BELIEF
    KOHN, P
    CANADIAN JOURNAL OF BEHAVIOURAL SCIENCE, 1969, 1 (02): : 87 - &
  • [25] Symbolic and numeric computations of the Barnes function
    Adamchik, VS
    COMPUTER PHYSICS COMMUNICATIONS, 2004, 157 (03) : 181 - 190
  • [26] On Reduction of Computations for Threshold Function Identification
    Hsu, Wen-Chih
    Lin, Chia-Chun
    Li, Yi-Ting
    Chen, Yung-Chih
    Wang, Chun-Yao
    34TH IEEE INTERNATIONAL SYSTEM ON CHIP CONFERENCE (SOCC), 2021, : 146 - 151
  • [27] Numerical computations of energy function.
    Dube, GP
    Levine, S
    TRANSACTIONS OF THE FARADAY SOCIETY, 1939, 35 (02): : 1141 - 1155
  • [28] DERIVATIVE COMPUTATIONS FOR THE LOG LIKELIHOOD FUNCTION
    WILSON, DA
    KUMAR, A
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1982, 27 (01) : 230 - 232
  • [29] A New Belief Entropy to Measure Uncertainty of Basic Probability Assignments Based on Belief Function and Plausibility Function
    Pan, Lipeng
    Deng, Yong
    ENTROPY, 2018, 20 (11)
  • [30] Query DAGs: A practical paradigm for implementing belief-network inference
    Darwiche, A
    Provan, G
    JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, 1997, 6 : 147 - 176
12345