Narrow Results

We seek to quantify both the classification performance and estimation error robustness of the authors' tomographic classifier fusion methodology by contrasting it in field tests and model scenarios with the sum and product classifier fusion methodologies.

In particular, we seek to confirm that the tomographic methodology represents a generally optimal strategy across the entire range of problem dimensionalities, and at a sufficient margin to justify the general advocation of its use. Final results indicate, in particular, a near 25% improvement on the next nearest performing combination scheme at the extremity of the tested dimensional range.

Selecting a suitable Multi Criteria Decision-Making (MCDM) method is a crucial step in selecting appropriate medical equipment. The aim of the research is to define the most appropriate tomography equipment through the integration of the Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. A hybrid model is presented. The AHP is used to define the weights of each criterion and sub-criterion through qualitative comparisons. Then, TOPSIS is used to evaluate the purchase options. This research provides decision makers with a scientific and rigorous decision support system useful in strategic and complex decision. A numerical example is also presented.

Ocean cold water mass is an oceanographic phenomena that oceanographers concerned many years. Method of monitoring the cold water mass is a problem to be solved urgently. A new tomography approach, modal wave-number tomography (MWNT), is proposed for monitoring the cold water mass and numerical simulation is carried out for Yellow sea cold water mass. The perturbation theory is used to invert the coefficients of empirical orthogonal functions of sound speed profile (SSP) from the local modal wave number perturbation. The numerical simulation shows that the modal wave number tomography can invert average SSP, in particular, is of potential to monitoring range dependent SSP structure.