This survey makes a review of the most recent applications and trends on fuzzy cognitive
maps (FCMs) over the past decade. FCMs are inference networks, using cyclic digraphs, for …

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 …

The development of information measures associated with fuzzy and intuitionistic fuzzy sets
is an important research area from the past few decades. Divergence and entropy are two …

The urban household solid waste (HSW) classification and recycling system is a complex
adaptive system (CAS), containing multiple agents and the behaviors between them are …

Fuzzy Cognitive Maps (FCM) has proven to be useful for representing both individual and
collective mental models. Their capacity to be aggregated from individual FCM makes them …

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 …

Long-term sustainable wind energy deployment faces an array of challenges due to various
complex interconnected impediment factors. These inherent endogenous and exogenous …

The fuzzy cognitive map (FCM) is a powerful model for system state prediction and
interpretable knowledge representation. Recent years have witnessed the tremendous …

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 …

Widespread use of promising solar energy is an integral attribute of governments toward
global efforts in mitigating future emission and reducing the fossil fuel consumption …