Akademik Veri Yönetim Sistemi
12th World Congress of the European Water Resources Association (EWRA) on Water Resources and Environment, Thessaloniki, Yunanistan, 27 Haziran - 01 Temmuz 2023, ss.349-350, (Özet Bildiri)
Fuzzy Cognitive Mapping (FCM) is an essential qualitative soft computing method that was added to cognitive maps (CM) by Kosko (1986). Fuzzy logic, neural networks, and genetic algorithms are examples of soft computing techniques that have the potential to simplify difficult issues. FCM has received a lot of interest from researchers due to its superior capacity to model dynamic and complicated issues. FCM is a graph-based technique that, like any conventional CM, is made up of concepts and causal connections. The distinction is that in FCM, the relationships between concepts are defined by fuzzy connections and their models are fuzzy sets. Integrating FCM into the Water Resources Management (WRM) topic and combining it with various related problems such as climate change (Cakmak et al. 2013), sustainability (Bahri et al. 2020), etc., has been a relatively recent one. The presented study investigates the perception of the Menemen Plain (MP) stakeholders on WRM through a survey, which is then evaluated by the FCM approach. MP is located at the outlet of the Gediz River Basin (GRB), which is one of the major river basins of Turkey with pressures related to anthropogenic activities and climate change. Thus, MP suffers from both water quantity and quality. The sectors’ competition for water and also the increase in water demand both further aggravate water scarcity.