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 …

Background and Objective A high percentage of medical errors, committed because of
physician's lack of experience, huge volume of data to be analyzed, and inaccessibility to …

Due to the shortcomings of conventional machine hearing methods in tackling data with high-
dimension search space, such as the need for initial configuration and feature extraction …

Fuzzy Cognitive Maps (FCMs) have become an invaluable tool for healthcare providers
because they can capture intricate associations among variables and generate precise …

Background There is a growing demand for women to be classified into different risk groups
of developing breast cancer (BC). The focus of the reported work is on the development of …

Breast cancer is the most deadly disease affecting women and thus it is natural for women
aged 40–49 years (who have a family history of breast cancer or other related cancers) to …

In recent years, classification based on fuzzy cognitive maps (FCM) has received extensive
attention, has been applied in many engineering problems, and has proven to work well …

Stroke is the third major cause of mortality in the world. The diagnosis of stroke is a very
complex issue considering controllable and uncontrollable factors. These factors include …

This paper presents a new method based on fuzzy cognitive map (FCM) and possibilistic
fuzzy c-means (PFCM) clustering algorithm for categorizing celiac disease (CD). CD is a …

By applying an image-based visual servoing (IBVS) method, the intelligent image-based
controlling of a quadrotor type unmanned aerial vehicle (UAV) tracking a moving target is …