Examining Measure Correlations With Incomplete Data Sets

Optical spectropolarimetry with incomplete data sets

Context. Linear spectropolarimetry is a “photon-hungry” observing technique, requiring a specific sequence of observations to determine the Stokes Q and U parameters. For dual-beam spectropolarimeters, the Q and U Stokes parameters can be ideally determined using observations at N=2 retarder plate positions. The additional polarization signal introduced by instrumental effects requires the redu...

Image Reconstruction from Incomplete Data

Image Reconstruction from Incomplete Data

Data Analysis with Fuzzy Measure on Intuitionistic Fuzzy Sets

Study of fuzzy entropy on intuitionistic fuzzy sets (IFSs) were proposed, and analyzed. Built in uncertainty in IFSs, it is named as hesitance. It is contained in fuzzy membership function in itself by definition. Hence, designing fuzzy entropy is not easy because there is no general entropy definition about IFSs. By considering existing fuzzy entropy definitions, fuzzy entropy on IFSs is desig...

Examining Correlations in Usability Data to Effectivize Usability Testing

Based on a case study performed in industry, this work deals with a statistical analysis of data collected during usability testing. The data is from tests performed by usability testers from two companies in two different countries. One problem in the industrial situation is the scarcity of testing resources, and a need to use these resources in the most efficient way. Therefore, the data from...