Data reconciliation and fusion methods: a survey

Designing a Home Security System using Sensor Data Fusion with DST and DSMT Methods

Today due to the importance and necessity of implementing security systems in homes and other buildings, systems with higher certainty, lower cost and with sensor fusion methods are more attractive, as an applicable and high performance methods for the researchers. In this paper, the application of Dempster-Shafer evidential theory and also the newer, more general one Dezert-Smarandache theory ...

Resampling Methods in Complex Survey Data

Comparative Evaluation of Image Fusion Methods for Hyperspectral and Panchromatic Data Fusion in Agricultural and Urban Areas

Nowadays remote sensing plays a key role in the field of earth science studies due to some of the advantages, including data collection at a very low cost and time on a very large scale. Meanwhile, using hyperspectral data is of great importance due to the high spectral resolution. Because of some limitations, such as hyperspectral imaging technology, it suffers from a reduction in the spatial ...

Methods of Economics: A Survey of Matters and Methods

In spite of sonic pessimistic attitudes towards methodology of economics, it has succeeded as a central theme in numerous books, refereed journals, international conferences and symposiums whose volume is increasing at an unprecedented rate. The proliferation of methodological literature also is accompanied by a proliferation of issues that concern: the goals of economics, realism of economics,...

Combination of Feature Selection and Learning Methods for IoT Data Fusion

In this paper, we propose five data fusion schemes for the Internet of Things (IoT) scenario,which are Relief and Perceptron (Re-P), Relief and Genetic Algorithm Particle Swarm Optimization (Re-GAPSO), Genetic Algorithm and Artificial Neural Network (GA-ANN), Rough and Perceptron (Ro-P)and Rough and GAPSO (Ro-GAPSO). All the schemes consist of four stages, including preprocessingthe data set ba...