@inproceedings{f0617c20b0c847508a51270b7e6bad30,
title = "Fuzzy based tool to measure the resilience of communities",
abstract = "Last decades have been characterized by an increasing number of disasters all over the world. Therefore, the concept of community resilience has attracted the attention of the scientists who started to explore and assess the ability of communities to recover after undesirable events. In this work, a method for assessing the earthquake community resilience based on the PEOPLES framework is presented. PEOPLES is a framework that defines community resilience using seven dimensions. Each of the dimensions is defined through a set of indicators to describe the different aspects of resilience. The exact evaluation of the indicators is usually not possible due to the lack of deterministic data related to the damaged system after the disaster. The proposed method exploits a knowledge-based fuzzy modelling to allow the quantitative evaluation of the PEOPLES indicators taking into account uncertainties. The output of the implemented fuzzy method is a resilience index.",
author = "O. Kammouh and Noori, {A. Zamani} and M. Domaneschi and Cimellaro, {G. P.}",
year = "2018",
language = "English",
isbn = "9781138730458",
series = "Maintenance, Safety, Risk, Management and Life-Cycle Performance of Bridges - Proceedings of the 9th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2018",
publisher = "CRC Press / Balkema - Taylor & Francis Group",
pages = "1895--1901",
editor = "Nigel Powers and Frangopol, {Dan M.} and Riadh Al-Mahaidi and Colin Caprani",
booktitle = "Maintenance, Safety, Risk, Management and Life-Cycle Performance of Bridges - Proceedings of the 9th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2018",
note = "9th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2018 ; Conference date: 09-07-2018 Through 13-07-2018",
}