Sco** review of the potentials of fuzzy cognitive maps as a modeling approach for integrated environmental assessment and management
A Mourhir - Environmental Modelling & Software, 2021 - Elsevier
Abstract Fuzzy Cognitive Maps were missing in the latest guidance by Kelly et al.(2013),
which reviewed five common integrated modeling approaches. Through a sco** review …
which reviewed five common integrated modeling approaches. Through a sco** review …
Using agent‐based models to develop public policy about food behaviours: future directions and recommendations
Most adults are overweight or obese in many western countries. Several population‐level
interventions on the physical, economical, political, or sociocultural environment have thus …
interventions on the physical, economical, political, or sociocultural environment have thus …
Identifying the components and interrelationships of smart cities in Indonesia: Supporting policymaking via fuzzy cognitive systems
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 …
defining smart cities (eg, the implementation-oriented maturity model) tends to focus on …
Combining fuzzy cognitive maps with agent-based modeling: Frameworks and pitfalls of a powerful hybrid modeling approach to understand human-environment …
Agent-based modeling (ABM) is an established technique to capture human-environment
interactions in socio-ecological systems. As a micro-model, it explicitly represents each …
interactions in socio-ecological systems. As a micro-model, it explicitly represents each …
Twelve questions for the participatory modeling community
Participatory modeling engages the implicit and explicit knowledge of stakeholders to create
formalized and shared representations of reality and has evolved into a field of study as well …
formalized and shared representations of reality and has evolved into a field of study as well …
FCMpy: a python module for constructing and analyzing fuzzy cognitive maps
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 …
(FCMs). The module provides tools for end-to-end projects involving FCMs. It is able to …
[HTML][HTML] Geographic atrophy in age-related macular degeneration: a tale of two stages
TDL Keenan - Ophthalmology Science, 2023 - Elsevier
Purpose To examine disease progression in age-related macular degeneration (AMD) at 2
distinct stages, progression to geographic atrophy (GA) versus GA expansion, by …
distinct stages, progression to geographic atrophy (GA) versus GA expansion, by …
Should we simulate mental models to assess whether they agree?
Modeling approaches can support policy coherence by capturing the logistics of an
intervention involving multiple individuals, or by identifying goals and preferences of each …
intervention involving multiple individuals, or by identifying goals and preferences of each …
[HTML][HTML] In-Cognitive: A web-based Python application for fuzzy cognitive map design, simulation, and uncertainty analysis based on the Monte Carlo method
Abstract Fuzzy Cognitive Map** is a semi-quantitative modelling method, widely used for
decision support in various domains. However, existing software applications have been …
decision support in various domains. However, existing software applications have been …
[HTML][HTML] Dealing with complexity: How to use a hybrid approach to incorporate complexity in health behavior interventions
In the process of develo** interventions targeting health behaviors (eg, smoking
cessation, safe sex, healthy nutrition), intervention planners interact with multiple types of …
cessation, safe sex, healthy nutrition), intervention planners interact with multiple types of …