Reimagining multi-criterion decision making by data-driven methods based on machine learning: A literature review
Multi-criterion decision making (MCDM) methods can derive alternative rankings as
solutions to decision-making problems based on survey or historical data about the …
solutions to decision-making problems based on survey or historical data about the …
[HTML][HTML] Estimating seismic vulnerability in West Bengal by AHP-WSM and AHP-VIKOR
West Bengal is situated primarily in the Surma Valley at the foothills of the Himalayas and
near the western foreland of the Assam-Arakan Orogenic Belt. Several low to moderate …
near the western foreland of the Assam-Arakan Orogenic Belt. Several low to moderate …
Understanding twitter in crisis: a roadmap for public sector decision makers with multi-criteria decision making
This study was developed to emphasize the critical role of social media in large-scale crises
and the importance of effective information flow management. By analyzing how the Twitter …
and the importance of effective information flow management. By analyzing how the Twitter …
Active source zones and earthquake vulnerability around Sumatra subduction zone
Accurate identification of locations of earthquake clusters is critical for seismic risk and
vulnerability estimation. About 19,500 earthquakes with magnitude> 2.5 and depths< 400 …
vulnerability estimation. About 19,500 earthquakes with magnitude> 2.5 and depths< 400 …
Assessment of landslides induced by earthquake risk of Istanbul: A comprehensive study utilizing an integrated DFS-AHP and DFS-EDAS approach
Secondary disasters, the grim aftermath of earthquakes, encompass a range of life-
threatening risks, including aftershocks, building collapses, landslides, tsunamis, fires, and …
threatening risks, including aftershocks, building collapses, landslides, tsunamis, fires, and …
Evaluating seismic risk by MCDM and machine learning for the eastern coast of India
Natural disasters such as earthquakes endanger human lives and infrastructure, particularly
in urban areas. With the advancements in science and technology in understanding natural …
in urban areas. With the advancements in science and technology in understanding natural …
A Multi-Hazard Risk Assessment Model for a Road Network Based on Neural Networks and Fuzzy Comprehensive Evaluation
C Zhou, M Chen, J Chen, Y Chen, W Chen - Sustainability, 2024 - mdpi.com
The frequency of extreme weather events has increased worldwide, leading to more intense
natural disasters, which pose significant threats to human life and property safety. The main …
natural disasters, which pose significant threats to human life and property safety. The main …
Multi-hazard susceptibility map** of landslides and earthquakes in Bhagirathi Valley region of Uttarakhand Himalaya, India
N Gupta, DP Kanungo, J Das - Journal of Spatial Science, 2024 - Taylor & Francis
This study addresses impact of increasing frequency of natural hazards, particularly in
mountainous regions like the Himalayas. The research develops a comprehensive multi …
mountainous regions like the Himalayas. The research develops a comprehensive multi …
Assessing and measuring the vulnerability of highway construction projects with BIM using artificial intelligence optimization algorithms
Assessing the seismic susceptibility of urban highway and road networks is crucial for
strengthening the most vulnerable parts of the road network in advance and effectively …
strengthening the most vulnerable parts of the road network in advance and effectively …
Revised empirical relations between earthquake source and rupture parameters by regression and machine learning algorithms
In this study, we have developed new empirical relations between various source and
rupture parameters such as moment magnitude (M), surface rupture length (SRL) …
rupture parameters such as moment magnitude (M), surface rupture length (SRL) …