Sentence examples for combined preference from inspiring English sources

Harmony ratings alone explain 62.3% of the variance (more than all 10 Munsell factors combined), preference for the ground color adds another 9.3%, preference for the figure adds a further 4.7%, and the absolute value of the difference in Munsell values (lightnesses) adds a final 4.5% (larger lightness differences being preferred).

For example, V4 shows color sensitivity in addition to being part of a large scale retinotopic organization; the fusiform face area (FFA) has a combined preference for faces and a foveal retinotopic eccentricity preference, and the parahippocampal place area (PPA) has combined selectivity for place stimuli and a peripheral retinotopic eccentricity preference [2], [90].

For example, the parahippocampal place area (PPA) shows selectivity for place stimuli (such as pictures of houses) and a peripheral retinotopic eccentricity preference, and the fusiform face area (FFA) has a combined preference for faces stimuli and a foveal retinotopic eccentricity preference [2].

Combining preference lists into a single ranking is known as rank aggregation.

Stochastic multi-criteria acceptability analysis (SMAA) also combines preference data with clinical trial data, but a non-informative (uniform) distribution or a single rank order of criteria is used for preferences [ 19, 33].

The money-pump argument relies on a particular way to combine preferences in two dimensions, which is only possible if two crucial assumptions are satisfied: (1) The primary alternatives (the stamps) can be combined with some other commodity (money) to form composite alternatives.

A QALY combines preferences for both length of survival and its quality into one single measure.

A new idea for the PTO will also be introduced, which is intended to combine preferences for positive, and avoided negative health changes.

The QWB-SA is a widely used, validated, multiattribute utility model that combines preference-weighted values for symptoms and functioning to provide a health utility score.

MCDA procedures utilizing geographical data consider the user's preferences, manipulate the data, and combine preferences with the data according to specified decision rules (Malczewski, 2004; Rahman et al., 2012).

Combined with aggregate preferences for protein types, there is potential to utilize aggregation for the detection and extraction of low-concentration species.