TITLE:
The Combination Operator of Information Sources by a New Expressive Matrix
AUTHORS:
A. Boualem, Y. Dahmani, A. Maatoug
KEYWORDS:
Dempster-Shafer Operator, Fusion Process, Criterion Information Sources, Criteria Information Sources, Conflict Managing, Reliability Factors, Decision
JOURNAL NAME:
Journal of Geographic Information System,
Vol.7 No.4,
August
20,
2015
ABSTRACT: The multi-sensors fusion
refers to the synergistic combination of sensory data from multiple sensors to
provide more accurate and reliable information. The potential benefits of the
Fusion are multi-sensors’ redundancy and extra information acquired. The fusion
of redundant information can reduce the overall uncertainty and thus helps to provide
information specified more precisely. Several sensors providing redundant
information can also be used to increase reliability in the case of error,
omission or failure of sensors. The combination operators are exponential and
are more complex in terms of calculation; the Dempster-Shafer operator is
exponential for more than three (3) information sources[1] [2]. Our work focuses on the
definition of another formulation of this operation, and puts it in a matrix
form to illuminate the computational complexity, more precision guaranty and a
minimal execution time. We propose to use each information source in a form of
a matrix, which contains 0 value in lines that do not contain the masses (m(Ai)
= 0) or once m(Ai) is not null (m(Ai) ≠ 0). The use of this expressed matrix
attempts to ameliorate Dempster-Shafer operator via initialing either a
criterion or criteria sources’ solution, increasing the efficiency of the
Dempster-Shafer operator and facilitates the combination among the sources. We
evaluate our approach by conducting a case study for showing the effectiveness
of this matrix.