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 …

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 …

Fuzzy cognitive maps (FCMs) are a very convenient, simple, and powerful tool for simulation
and analysis of dynamic systems. They were originally developed in 1980 by Kosko, and …

Many real-life situations require ranking alternative decisions with respect to multiple criteria.
The problem becomes more complicated when the knowledge of the considered criteria is …

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

Despite on-the-job assistance technology is getting popular in the Smart Operator 4.0
literature, non-routine work also requires highly-skilled and pre-trained workers to prevent …

Supplier selection problem, considered as a multi-criteria decision-making (MCDM)
problem, is one of the most important issues for firms. Lots of literatures about it have been …

Fuzzy cognitive maps (FCMs) have emerged as a powerful tool for dealing with the task of
time series prediction. Most existing research devoted to designing an effective method to …

Abstract Fuzzy Cognitive Maps (FCMs) are a graph-based methodology successfully
applied for knowledge representation of complex systems modelled through an interactive …

Supply chains (SCs) are increasingly vulnerable to disruptive events, posing risks to all
involved parties. Managing and mitigating these risks is crucial for resilient and sustainable …