Combination of paradoxical sources of information within the neutrosophic framework

被引:0
|
作者
Dezert, J [1 ]
机构
[1] Off Natl Etud & Rech Aerosp, F-92320 Chatillon, France
来源
PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON NEUTROSOPHY, NEUTROSPOPHIC LOGIC, NEUTROSOPHIC SET, NEUTROSOPHIC PROBABILITY AND STATISTICS | 2001年
关键词
data fusion; Dempster-Shafer theory; bodies of evidence; neutrosophy; neutrosophic logic;
D O I
暂无
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
The recent emergence of Smarandache's logic as foundations for a new general unifying theory for uncertain reasoning is becoming both anew philosophical and mathematical research field and could modify deeply our perception and understanding of our outer and inner worlds in coming years. The ability for neutrosophy to include all existing logics as special cases is undoubtedly appealing. Beside of all potential advantages of neutrosophy to handle antinomies and uncertainties, the current mathematical neutrosophic logic, does not deal directly with the important problem of combination of evidences provided by different bodies of evidence. This paper is the first attempt to develop new foundations for the combination of sources of information in a very general framework where information can be both uncertain and paradoxical. We develop a new rule of combination close to the ad-hoc Dempster-Shafer rule of combination where both conjunctions and disjunctions of assertions are explicitly taking into account in the fusion process. Through several simple examples, we show the efficiency of this new theory of plausible and paradoxical reasoning to solve problems where the Dempster-Shafer theory usually fails. Finally a theoretical bridge between the neutrosophic logic and our new theory is presented, in order to solve the delicate problem of the combination of neutrosophic evidences. The neutrosophic logic seems to be an appealing general framework (prerequesite)for dealing with uncertain and paradoxical sources of information through this new theory.
引用
收藏
页码:22 / 49
页数:28
相关论文
共 50 条
  • [1] Belief functions combination without the assumption of independence of the information sources
    Cattaneo, Marco E. G. V.
    INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2011, 52 (03) : 299 - 315
  • [2] Combining complementary information sources in the Dempster-Shafer framework for solving classification problems with imperfect labels
    Tabassian, Mahdi
    Ghaderi, Reza
    Ebrahimpour, Reza
    KNOWLEDGE-BASED SYSTEMS, 2012, 27 : 92 - 102
  • [3] Evidence combination in an environment with heterogeneous sources
    Premaratne, Kamal
    Dewasurendra, Duminda A.
    Bauer, Peter H.
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 2007, 37 (03): : 298 - 309
  • [4] Unravelling Network-Based Intrusion Detection: A Neutrosophic Rule Mining and Optimization Framework
    Dias, Tiago Fontes
    Vitorino, Joao
    Fonseca, Tiago
    Praca, Isabel
    Maia, Eva
    Viamonte, Maria Joao
    COMPUTER SECURITY. ESORICS 2023 INTERNATIONAL WORKSHOPS, CPS4CIP, PT II, 2024, 14399 : 59 - 75
  • [5] Improving industrial automation selection with dynamic exponential distance in neutrosophic group decision-making framework
    Nafei, Amirhossein
    Chen, Shu-Chuan
    Garg, Harish
    Huang, Chien-Yi
    Smarandache, Florentin
    Azimi, Seyed Mohammadtaghi
    JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 2025,
  • [6] COMBINATION OF THERMAL AND GEOMETRIC INFORMATION FOR BIM ENRICHMENT
    Macher, Helene
    Boudhaim, Marouane
    Grussenmeyer, Pierre
    Siroux, Monica
    Landes, Tania
    27TH CIPA INTERNATIONAL SYMPOSIUM: DOCUMENTING THE PAST FOR A BETTER FUTURE, 2019, 42-2 (W15): : 719 - 725
  • [7] Linear combination of component results in information retrieval
    Wu, Shengli
    DATA & KNOWLEDGE ENGINEERING, 2012, 71 (01) : 114 - 126
  • [8] A geometric framework for data fusion in information retrieval
    Wu, Shengli
    Crestani, Fabio
    INFORMATION SYSTEMS, 2015, 50 : 20 - 35
  • [9] Fusionplex: resolution of data inconsistencies in the integration of heterogeneous information sources
    Motro, Amihai
    Anokhin, Philipp
    INFORMATION FUSION, 2006, 7 (02) : 176 - 196
  • [10] A geometric probabilistic framework for data fusion in information retrieval
    Wu, Shengli
    2007 PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION, VOLS 1-4, 2007, : 24 - 31