This article presents an integrated approach to reaching a robust decision in a full-scale multi-attribute decision problem inspired from a real-word case. The Hypothetical Equivalents and In-Equivalents Method (HEIM) is first validated using the full-scale decision problem. The major drawbacks of HEIM have been identified. In an attempt to eliminate the drawbacks of the HEIM, the Game Relative...

With the generation and analysis of stream data, such as network monitoring in real time, log records, click streams, a great deal of attention has been concerned on data streams mining in the field of data mining. In the process of the data streams mining, it is more reasonable to ask users to set a bound on the result size. Therefore, in this paper, an real-time single-pass algorithm, called ...

The steady and unsteady aerodynamic behaviour of a sailing yacht is investigated in this work by using full-scale testing on a Stewart 34. The aerodynamic forces developed by the yacht in real time are derived from knowledge of the differential pressures across the sails and the sail shape. Experimental results are compared with numerical computation and good agreement was found.

A high-quality GaSe single crystal was grown by the Bridgman method. The X-ray rocking curve for the studied GaSe sample is symmetric and the Full Width at Half Maximum (FWHM) is only 46 arcs, which is the smallest value ever reported for GaSe crystals. The IR-transmittance is about 66% in the range from 500 to 4000 cm-1. The photoluminescence spectrum at 9.2 K shows a symmetric and sharp excit...

An ultrahigh-Q, tunable optical filter with a FWHM bandwidth of 41 MHz is demonstrated. The filtering is produced by nondegenerate phase conjugation through four-wave mixing in atomic-sodium vapor. The filter is observed to have a maximum quantum efficiency of 4 x 10(-3). However, degenerate phase-conjugation experiments in sodium suggest that a quantum efficiency of greater than unity can be a...

Many-class learning is the problem of training a classifier to discriminate among a large number of target classes. Together with the problem of dealing with high-dimensional patterns (i.e. a high-dimensional input space), the many-class problem (i.e. a high-dimensional output space) is a major obstacle to be faced when scaling-up classifier systems and algorithms from small pilot applications ...