scholarly journals A hierarchical decision making framework for vulnerability analysis

2013 ◽  
pp. 1157-1165 ◽  
Author(s):  
T Wang ◽  
V Mousseau ◽  
E Zio
Keyword(s):  
Decision Making ◽  
Vulnerability Analysis ◽  
Hierarchical Decision Making ◽  
Hierarchical Decision ◽  
Decision Making Framework

Agrifood supply chain management: A comprehensive hierarchical decision-making framework and a critical taxonomy

2014 ◽  
Vol 120 ◽  
pp. 47-64 ◽  
Author(s):  
Naoum K. Tsolakis ◽  
Christos A. Keramydas ◽  
Agorasti K. Toka ◽  
Dimitrios A. Aidonis ◽  
Eleftherios T. Iakovou
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Hierarchical Decision Making ◽  
Chain Management ◽  
Hierarchical Decision ◽  
Decision Making Framework

A Hierarchical Decision-Making Framework in Social Networks for Efficient Disaster Management

2022 ◽  
Vol 32 (1) ◽  
pp. 1-26
Author(s):  
Seunghan Lee ◽  
Saurabh Jain ◽  
Young-Jun Son
Keyword(s):  
Decision Making ◽  
Social Networks ◽  
Disaster Management ◽  
Management Strategies ◽  
Management Policy ◽  
Strategy Development ◽  
Opinion Formation ◽  
Hierarchical Decision Making ◽  
Hierarchical Decision ◽  
Decision Making Framework

One of the major challenges faced by the current society is developing disaster management strategies to minimize the effects of catastrophic events. Disaster planning and strategy development phases of this urgency require larger amounts of cooperation among communities or individuals in society. Social networks have also been playing a crucial role in the establishment of efficient disaster management planning. This article proposes a hierarchical decision-making framework that would assist in analyzing two imperative information flow processes (innovation diffusion and opinion formation) in social networks under the consideration of community detection. The proposed framework was proven to capture the heterogeneity of individuals using cognitive behavior models and evaluate its impact on diffusion speed and opinion convergence. Moreover, the framework demonstrated the evolution of communities based on their inter-and intracommunication. The simulation results with real social network data suggest that the model can aid in establishing an efficient disaster management policy using social sensing and delivery.

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