Fuzzy cognitive maps (FCMs) keep growing in popularity within the scientific community.
However, despite substantial advances in the theory and applications of FCMs, there is a …

This study presents a survey on the most recent learning approaches and algorithms that
are related to fuzzy cognitive maps (FCMs). FCMs are cognition fuzzy influence graphs …

This survey covers the historical development and current state of the art in image
understanding for iris biometrics. Most research publications can be categorized as making …

This paper proposes algorithms for iris segmentation, quality enhancement, match score
fusion, and indexing to improve both the accuracy and the speed of iris recognition. A curve …

Risk analysis methods gain more and more acceptance as decision support tools to analyze
and reduce risks in engineering applications. Integration of these techniques leads to more …

This paper focuses on noncooperative iris recognition, ie, the capture of iris images at large
distances, under less controlled lighting conditions, and without active participation of the …

The challenging problem of complex systems modeling methods with learning capabilities
and characteristics that utilize existence knowledge and human experience is investigated …

Policy making, strategic planning and management in general are complex decision making
tasks, where the formulation of a quantitative mathematical model may be difficult or …

Iris Biometrics: From Segmentation to Template Security provides critical analysis,
challenges and solutions on recent iris biometric research topics, including image …

The most common iris biometric algorithm represents the texture of an iris using a binary iris
code. Not all bits in an iris code are equally consistent. A bit is deemed fragile if its value …