Abstract
Fusion of knowledge from multiple sources for pattern recognition has been an active area of research in many scientific disciplines. This paper presents a fuzzy version of a probabilistic fusion scheme, known as permanence-of-ratio-based combination, with application to analysis of cellular imaging for high-content screening. Classification of cellular phenotypes has been carried out to illustrate the usefulness of the permanence-of-ratio-based fuzzy fusion.