Among various soft computing approaches for time series forecasting, fuzzy cognitive maps
(FCMs) have shown remarkable results as a tool to model and analyze the dynamics of …

Educational big data analytics and computational intelligence have transformed our
understanding of learning ability and computing power, catalyzing the emergence of …

The accurate measurement and effective estimation of carbon market risk are crucial for
practitioners and policymakers to mobilize resources toward the transition to a climate …

Violence has remained a momentous problem since time immemorial. Various scientific
studies are conducted in the recent past to identify the stimuli causing violent behavior …

FCMpy is an open-source Python module for building and analyzing Fuzzy Cognitive Maps
(FCMs). The module provides tools for end-to-end projects involving FCMs. It is able to …

A fuzzy cognitive map (FCM) is an analysis tool that uses a graph structure to show the
causal relationships of influence factors in a decision-making system. During the decision …

The existing approaches to supporting the tasks of managing the urban areas development
are aimed at choosing an alternative from a set of ready-made solutions. Little attention is …

The aim of this paper is to present a novel approach to energy use forecasting. We propose
a nested fuzzy cognitive map in which each concept at a higher level can be decomposed …

Addressing the second priority of the Sendai Framework on Disaster Risk Reduction
(SFDRR) for strengthening disaster risk governance, this paper considers coastal regions …

Microservice architectures foster the development of applications as suites of small,
autonomous and conversational services, which are then easy to understand, deploy and …