Managing smart cities through six sigma DMADICV method: A review-based conceptual framework
Smart cities are complex endeavors that present several management challenges. The
current study proposes a conceptual framework based on Six Sigma for managing smart …
current study proposes a conceptual framework based on Six Sigma for managing smart …
Extensions of fuzzy cognitive maps: a systematic review
Fuzzy Cognitive Maps (FCMs) are widely used to simulate complex systems. However, they
cannot handle nonlinear relationships or time delays/lags, nor can they fully represent …
cannot handle nonlinear relationships or time delays/lags, nor can they fully represent …
Research on the risk evaluation of urban wastewater treatment projects based on an improved fuzzy cognitive map
H Chen, J Wang, Z Feng, Y Liu, W Xu, Y Qin - Sustainable Cities and …, 2023 - Elsevier
To address the issues of ambiguous uncertainty and conflicting evidence in risk evaluation
of wastewater treatment public-private partnership (PPP) project, a risk evaluation approach …
of wastewater treatment public-private partnership (PPP) project, a risk evaluation approach …
Land Optimization to Improve the Economy through Attractive Tourist Destinations in Smart City Indonesia
Increasing urbanization and technological developments have triggered significant
transformations in urban land management, especially in Indonesia's Smart City. This study …
transformations in urban land management, especially in Indonesia's Smart City. This study …
Pathways to suicide or collections of vicious cycles? Understanding the complexity of suicide through causal map**
Suicide is the second leading cause of death among youth ages 10–19 in the USA. While
suicide has long been recognized as a multifactorial issue, there is limited understanding …
suicide has long been recognized as a multifactorial issue, there is limited understanding …
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 …
A 5-step framework for measuring the quality of experience (QoE) of Internet of Things (IoT) services
The ultimate benefit of the Internet of Things (IoT) is to improve quality of life by supporting
the automation and interconnection of various services; this interconnection includes public …
the automation and interconnection of various services; this interconnection includes public …
Learning large-scale fuzzy cognitive maps using an evolutionary many-task algorithm
Fuzzy cognitive maps (FCMs) are a powerful tool for simulating and analyzing complex
systems. Many efficient methods based on evolutionary algorithms have been proposed to …
systems. Many efficient methods based on evolutionary algorithms have been proposed to …
Participatory modeling for transition governance: Linking methods to process phases
Participatory modeling–the involvement of stakeholders in the modeling process–can
support various objectives, such as stimulating learning processes or promoting mutual …
support various objectives, such as stimulating learning processes or promoting mutual …
Cognitive City Platform as Digital Public Infrastructure for Develo** a Smart, Sustainable and Resilient City in Indonesia
The development of smart cities has evolved through several generations since the
beginning. Many requirements and technologies have been devised to facilitate the …
beginning. Many requirements and technologies have been devised to facilitate the …