GFZ-Centre-for-Early-Warning / Bottom-up-Exposure-Modelling

Ipython script to exemplify the methodology of fuzzy scoring to model exposure

Risk-oriented, bottom-up modelling of building portfolios with faceted taxonomies

Implementation of fuzzy scoring to assign building vulnerability classes starting from faceted taxonomy descriptions.

Massimiliano Pittore, Michael Haas and Konstantinos G. Megalooikonomou

Copyright © GFZ-Potsdam 2018

Disclaimer:

This code is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

The present code is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/.

Introduction

The following notebook implements the methodology described in the companion paper "Risk-oriented, bottom-up modelling of building portfolios with faceted taxonomies" Pittore et al., 2018. The methodology aims at classifying an unknown building based on its taxonomic description according to the GEM taxonomy v2.0 (Brzev et al., 2013).