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 …

In this paper, an Advanced Dynamic Model Predictive Control (AMPC) based on a Nonlinear
Model Predictive Control (NMPC) framework with a multi-objective cost function driven by …

Multiple Indonesian cities currently aim to qualify as “smart cities.” Previous research on
defining smart cities (eg, the implementation-oriented maturity model) tends to focus on …

Page 1 Neutrosophic Sets and Systems, Vol. 22, 2018 63 University of New Mexico A New
Neutrosophic Cognitive Map with Neutrosophic Sets on Connections, Application in Project …

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 …

We present a scoping review of methods used to elicit individuals' mental models of science
or risk. Developing a shared understanding of the science related to risk is crucial for diverse …

Blockchain technology have gained importance in the supply chain with its transparency,
robustness, and elimination of intermediaries. Different impacts are expected with the …

This paper proposes a two-stage prediction model, for multivariate time series prediction
based on the efficient capabilities of evolutionary fuzzy cognitive maps (FCMs) enhanced by …

Evaluating and selecting proper suppliers in the healthcare centers due to their high impact
on the financial situation and citizens' satisfaction is vital. The abundance of various criteria …