Belief functions combination without the assumption of independence of the information sources

被引：30
|
作者：
Cattaneo, Marco E. G. V. [1 ]
机构：
[1] Ludwig Maximilians Univ Munchen, Dept Stat, D-80539 Munich, Germany
来源：
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING | 2011年 / 52卷 / 03期
关键词：
Dempster-Shafer theory; Belief functions; Combination rule; Dependence; Conflict; Cautious combination; APPROXIMATIONS; OPERATIONS; RULE;
D O I：
10.1016/j.ijar.2010.10.006
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper considers the problem of combining belief functions obtained from not necessarily independent sources of information. It introduces two combination rules for the situation in which no assumption is made about the dependence of the information sources. These two rules are based on cautious combinations of plausibility and commonality functions, respectively. The paper studies the properties of these rules and their connection with Dempster's rules of conditioning and combination and the minimum rule of possibility theory. (C) 2010 Elsevier Inc. All rights reserved.
引用
收藏
页码：299 / 315
页数：17
相关论文
共 50 条
  • [21] Pairwise classifier combination using belief functions
    Quost, Benjamin
    Denoeux, Thierry
    Masson, Marie-Helene
    PATTERN RECOGNITION LETTERS, 2007, 28 (05) : 644 - 653
  • [22] Combination of weighted belief functions based on evidence distance and conflicting belief
    College of Automation, Northwestern Polytechnical University, Xi'an Shaanxi 710072, China
    Kong Zhi Li Lun Yu Ying Yong, 2009, 12 (1439-1442):
  • [23] Validity of the Independence Assumption for the Separation of Instantaneous and Convolutive Mixtures of Speech and Music Sources
    Puigt, Matthieu
    Vincent, Emmanuel
    Deville, Yannick
    INDEPENDENT COMPONENT ANALYSIS AND SIGNAL SEPARATION, PROCEEDINGS, 2009, 5441 : 613 - +
  • [24] Reliability and combination rule in the theory of belief functions
    Martin, Arnaud
    FUSION: 2009 12TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION, VOLS 1-4, 2009, : 529 - 536
  • [25] Decision with belief functions and generalized independence: Two impossibility theorems
    Guillaume, Romain (romain.guillaume@irit.fr), 1600, Elsevier Inc. (175):
  • [26] Decision with belief functions and generalized independence: Two impossibility theorems
    Fargier, Helene
    Guillaume, Romain
    INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2024, 175
  • [27] Heterogeneous information fusion: Combination of multiple supervised and unsupervised classification methods based on belief functions
    Li, Na
    Martin, Arnaud
    Estival, Remi
    INFORMATION SCIENCES, 2021, 544 : 238 - 265
  • [28] ON THE COMBINATION OF INFORMATION-SOURCES
    KRUSE, R
    SCHWECKE, E
    LECTURE NOTES IN COMPUTER SCIENCE, 1991, 521 : 24 - 30
  • [29] CONVERGENCE ANALYSIS ON A FAST ITERATIVE PHASE RETRIEVAL ALGORITHM WITHOUT INDEPENDENCE ASSUMPTION
    Li, Gen
    Jiao, Yuchen
    Gu, Yuantao
    2018 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2018, : 4624 - 4628
  • [30] Prejudiced Information Fusion Using Belief Functions
    Dubois, Didier
    Faux, Francis
    Prade, Henri
    BELIEF FUNCTIONS: THEORY AND APPLICATIONS, BELIEF 2018, 2018, 11069 : 77 - 85
12345