Keywords
fuzzy cognitive maps, modeling, decision making, software, environmental management
Start Date
27-6-2018 2:00 PM
End Date
27-6-2018 3:20 PM
Abstract
Fuzzy cognitive maps (FCMs) have gained popularity within the scientific community due to their capabilities in modeling and decision making for complex problems. However, despite the large number of papers in advances on mathematical formulation and applications of FCMs, and some recent tools for this soft computing technique, there is a lack of open source tools for FCMs in modeling and inference in diverse application domains. In this research paper, we are filling that gap. We present an open source package in R programming language, called the ‘fcm’ package to estimate the inference of the FCM and accomplish the scenario analysis using the fcm.infer function. Six different inference rules (kosko, modified-kosko, rescale and the clamped versions of these rules) and four threshold functions (bivalent, trivalent, sigmoid and hyperbolic tangent) are providing. This open-source package is available in CRAN and provides the opportunity to everyone to run different scenarios in their weighted matrices. The steps in order to make FCM models and run FCM scenarios are really easy to non-experienced users. Dedicated examples and visualizations are provided to show the proposed open source FCM package for environmental modelling and decision making.
Open source tool in R language to estimate the inference of the Fuzzy Cognitive Map in environmental decision making
Fuzzy cognitive maps (FCMs) have gained popularity within the scientific community due to their capabilities in modeling and decision making for complex problems. However, despite the large number of papers in advances on mathematical formulation and applications of FCMs, and some recent tools for this soft computing technique, there is a lack of open source tools for FCMs in modeling and inference in diverse application domains. In this research paper, we are filling that gap. We present an open source package in R programming language, called the ‘fcm’ package to estimate the inference of the FCM and accomplish the scenario analysis using the fcm.infer function. Six different inference rules (kosko, modified-kosko, rescale and the clamped versions of these rules) and four threshold functions (bivalent, trivalent, sigmoid and hyperbolic tangent) are providing. This open-source package is available in CRAN and provides the opportunity to everyone to run different scenarios in their weighted matrices. The steps in order to make FCM models and run FCM scenarios are really easy to non-experienced users. Dedicated examples and visualizations are provided to show the proposed open source FCM package for environmental modelling and decision making.
Stream and Session
C5: Participatory Modelling 2.0: Interfaces, Tools, Methods and Approaches for Linking Stakeholders Decisions, and Environmental Modelling