Efficient computation of DS-based uncertain logic operations and its application to hard and soft data fusion

Rafael C. Núñez, Manohar Murthi, Kamal Premaratne

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Soft data reasoning systems are important components of more general hard and soft data fusion frameworks that should satisfy at a minimum the following four requirements: (1) uncertainty management, (2) semantic richness for soft data representations, (3) computational speed, and (4) robustness against conflicting evidence. Uncertain logic has been recently introduced as a framework for soft data reasoning that can potentially address each of these requirements. Uncertain logic is a First-Order Logic (FOL) reasoning system based on Dempster-Shafer (DS) theoretical models, a mathematical environment that is well suited for addressing requirement (1). The FOL environment directly targets suitable soft data representations, as needed for (2). Uncertain logic, however, still needs improvements for tackling (3) and (4). In this paper, we introduce a method for addressing this need, which is based on formulating an uncertain logic problem as a convex optimization problem. The application of this method is shown through a case study on estimation and tracking in a combined soft and hard data scenario.

Original languageEnglish
Title of host publicationFUSION 2014 - 17th International Conference on Information Fusion
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9788490123553
StatePublished - Jan 1 2014
Event17th International Conference on Information Fusion, FUSION 2014 - Salamanca, Spain
Duration: Jul 7 2014Jul 10 2014

Other

Other17th International Conference on Information Fusion, FUSION 2014
CountrySpain
CitySalamanca
Period7/7/147/10/14

Fingerprint

Convex optimization
Data fusion
Semantics
Uncertainty

ASJC Scopus subject areas

  • Information Systems

Cite this

Núñez, R. C., Murthi, M., & Premaratne, K. (2014). Efficient computation of DS-based uncertain logic operations and its application to hard and soft data fusion. In FUSION 2014 - 17th International Conference on Information Fusion [6916204] Institute of Electrical and Electronics Engineers Inc..

Efficient computation of DS-based uncertain logic operations and its application to hard and soft data fusion. / Núñez, Rafael C.; Murthi, Manohar; Premaratne, Kamal.

FUSION 2014 - 17th International Conference on Information Fusion. Institute of Electrical and Electronics Engineers Inc., 2014. 6916204.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Núñez, RC, Murthi, M & Premaratne, K 2014, Efficient computation of DS-based uncertain logic operations and its application to hard and soft data fusion. in FUSION 2014 - 17th International Conference on Information Fusion., 6916204, Institute of Electrical and Electronics Engineers Inc., 17th International Conference on Information Fusion, FUSION 2014, Salamanca, Spain, 7/7/14.
Núñez RC, Murthi M, Premaratne K. Efficient computation of DS-based uncertain logic operations and its application to hard and soft data fusion. In FUSION 2014 - 17th International Conference on Information Fusion. Institute of Electrical and Electronics Engineers Inc. 2014. 6916204
Núñez, Rafael C. ; Murthi, Manohar ; Premaratne, Kamal. / Efficient computation of DS-based uncertain logic operations and its application to hard and soft data fusion. FUSION 2014 - 17th International Conference on Information Fusion. Institute of Electrical and Electronics Engineers Inc., 2014.
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