Fuzzy Optimization and Decision Making - SDG 7 Related Publications from Fuzzy Optimization and Decision Making
Springer Nature's Sustainable Development Goals (SDG) Programme aims to connect the researchers who are tackling the world’s toughest challenges with the practitioners in policy and business who desperately need those insights to achieve their goals in improving the world, by making our publishing activities more visible to our key communities through a variety of channels.
The UN Sustainable Development Goal 7 (SDG 7) "Affordable and Clean Energy" exists to ensure access to affordable, reliable, sustainable and modern energy for all.
Articles from the Fuzzy Optimization and Decision Making address issues directly related to SDG 7. Below are a few highlights from the journal that seek to drive sustainable energy.
Extended Fuzzy C-Means and Genetic Algorithms to Optimize Power Flow Management in Hybrid Electric Vehicles
Lucio Ippolito, Vincenzo Loia, Pierluigi Siano
Fuzzy Optimization and Decision Making 2.4 (December 2003)
A fuzzy opportunity and threat aggregation approach in multicriteria decision analysis
Madjid Tavana, Mariya A. Sodenkamp, Mohsen Pirdashti
Fuzzy Optimization and Decision Making 9.4 (September 2010)
Using local learning with fuzzy transform: application to short term forecasting problems
Vincenzo Loia, Stefania Tomasiello, Alfredo Vaccaro, Jinwu Gao
Fuzzy Optimization and Decision Making 19.1 (September 2019)
For more information on SDG 7, visit Springer Nature's SDG 7 Hub on Affordable and Clean Energy or discover SDG 7 researchers' attitudes towards societal impact in this downloadable infographic, part of a larger project in partnership with the Association of Universities in the Netherlands (VSNU), exploring the role of open research in accelerating progress on global societal challenges.