Fuzzy Analysis And Simulations For Emergency Hospital Performance In Post-Disaster

Keywords

Disaster; Emergency; Fuzz; Simulation; Survey

Abstract

In order to establish an effective collaboration between post-disaster management systems (PDMS) and individuals for data sharing, appropriate agreements with a timely response for the need of these individuals must be adopted. Such agreements will increase their willingness to participate in this process. Additionally establishing an appropriate relationship between governments, private and academic sectors will lead to better utilization of their capabilities (e.g. national mapping agencies) and allow PDMS to acquire plenty of data from the disaster response. Fuzzy factors analysis on matrix type dataset is to conduct a subdataset indexing by some indices using fuzzy transformation; the survey dataset in this paper were processed by fuzzy factors analysis, In order to conduct sub-dataset indexing by some indices using fuzzy transformation, it is necessary to use fuzzy factor analyst on matrix type dataset.

Publication Date

1-9-2017

Publication Title

Proceedings - SIMS 2016: 2nd International Conference on Systems Informatics, Modelling and Simulation

Number of Pages

41-46

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/SIMS.2016.33

Socpus ID

85013972547 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85013972547

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