The role of factors affecting flood hazard zoning using analytical hierarchy process: a review
Flood hazard zoning is an important problem that has received much attention from
environmental researchers. This problem requires complex spatial analysis; hence …
environmental researchers. This problem requires complex spatial analysis; hence …
Evaluating public transport service quality using picture fuzzy analytic hierarchy process and linear assignment model
Group decision-making on a public service problem is often biased by untrustworthy
responses of the participants, which affects negatively the outcome of the procedure. To …
responses of the participants, which affects negatively the outcome of the procedure. To …
Stakeholder perceptions in flood risk assessment: A hybrid fuzzy AHP-TOPSIS approach for Istanbul, Turkey
As an initial exploration, preliminary studies which are conducted for the identification of key
points to be addressed in flood risk management (FRM) processes are crucial to mitigate …
points to be addressed in flood risk management (FRM) processes are crucial to mitigate …
District based flood risk assessment in Istanbul using fuzzy analytical hierarchy process
Floods, among the most frequent and severe hazards in the world, threaten the sustainability
of the built environment by causing immense damage to infrastructures, buildings …
of the built environment by causing immense damage to infrastructures, buildings …
Flood hazard mapping using fuzzy logic, analytical hierarchy process, and multi-source geospatial datasets
Iran is among the driest countries in the world, where many natural hazards, such as floods,
frequently occur. This study introduces a straightforward flood hazard assessment approach …
frequently occur. This study introduces a straightforward flood hazard assessment approach …
Flood risk analysis using gis-based analytical hierarchy process: a case study of Bitlis Province
MC Aydin, E Sevgi Birincioğlu - Applied Water Science, 2022 - Springer
Floods are the most common natural disasters on earth. Population growth with global
warming and climate changes increases the impact of floods on people every year …
warming and climate changes increases the impact of floods on people every year …
Flood susceptibility mapping in an arid region of Pakistan through ensemble machine learning model
A Yaseen, J Lu, X Chen - Stochastic Environmental Research and Risk …, 2022 - Springer
Floods are among the most destructive natural hazards. Therefore, their prediction is pivotal
for flood management and public safety. Factors contributing to flood are different for every …
for flood management and public safety. Factors contributing to flood are different for every …
Identification of the groundwater potential recharge zones using MCDM models: full consistency method (FUCOM), best worst method (BWM) and analytic hierarchy …
In arid and semi-arid regions, groundwater is considered being the most available natural
resources for different water use. However, it is being limited in quantity. As such, its …
resources for different water use. However, it is being limited in quantity. As such, its …
Application of entropy weighting method for urban flood hazard mapping
Flooding is one of the most frequently occurring natural hazards worldwide. Mapping and
assessment of possible flood hazards are critical components of the evaluation and …
assessment of possible flood hazards are critical components of the evaluation and …
How far spatial resolution affects the ensemble machine learning based flood susceptibility prediction in data sparse region
Although the effect of digital elevation model (DEM) and its spatial resolution on flood
simulation modeling has been well studied, the effect of coarse and finer resolution image …
simulation modeling has been well studied, the effect of coarse and finer resolution image …