Fuzzy Cognitive Maps Optimization for Decision Making and Prediction
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- Jin-Young Kim & Sung-Bae Cho, 2019. "Electric Energy Consumption Prediction by Deep Learning with State Explainable Autoencoder," Energies, MDPI, vol. 12(4), pages 1-14, February.
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- Konstantinos Kokkinos & Eftihia Nathanail, 2023. "A Fuzzy Cognitive Map and PESTEL-Based Approach to Mitigate CO 2 Urban Mobility: The Case of Larissa, Greece," Sustainability, MDPI, vol. 15(16), pages 1-30, August.
- Orang, Omid & de Lima e Silva, Petrônio Cândido & Guimarães, Frederico Gadelha, 2023. "Multi-output time series forecasting with randomized multivariate Fuzzy Cognitive Maps," Chaos, Solitons & Fractals, Elsevier, vol. 176(C).
- Luz E. Gutiérrez & José Javier Samper & Daladier Jabba & Wilson Nieto & Carlos A. Guerrero & Mark M. Betts & Héctor A. López-Ospina, 2023. "Combined Framework of Multicriteria Methods to Identify Quality Attributes in Augmented Reality Applications," Mathematics, MDPI, vol. 11(13), pages 1-39, June.
- Katarzyna Poczeta & Elpiniki I. Papageorgiou, 2022. "Energy Use Forecasting with the Use of a Nested Structure Based on Fuzzy Cognitive Maps and Artificial Neural Networks," Energies, MDPI, vol. 15(20), pages 1-18, October.
- Shruthi Dakey & Sameer Deshkar & Shreya Joshi & Vibhas Sukhwani, 2023. "Enhancing Resilience in Coastal Regions from a Socio-Ecological Perspective: A Case Study of Andhra Pradesh, India," Sustainability, MDPI, vol. 15(12), pages 1-23, June.
- Mohammad Javad Bidel & Hossein Safari & Hannan Amoozad Mahdiraji & Edmundas Kazimieras Zavadskas & Jurgita Antucheviciene, 2022. "A Framework for Project Delivery Systems via Hybrid Fuzzy Risk Analysis: Application and Extension in ICT," Mathematics, MDPI, vol. 10(17), pages 1-22, September.
- Viktorija Terjanika & Jelena Pubule, 2022. "Barriers and Driving Factors for Sustainable Development of CO 2 Valorisation," Sustainability, MDPI, vol. 14(9), pages 1-16, April.
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Keywords
fuzzy cognitive maps; optimization; forecasting time series; evolutionary algorithms; decision making; appliances energy prediction;All these keywords.
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