## Appendix A
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**Author** & **Focus On** & **Composite and** & **Method** & **Data** & **Details about the Weights** \\ \hline \multirow{9}{*}{[PERSON] et al. [15]} & & Nine Urban & & & In some cases \\  & & Sustainability Indicators & & & (CDI, EPI, SSI, and WI), the aggregation \\  & & Footprint (EF), Green & USIs are reviewed & & aggregation \\  & & City Index (GCI), City & and classified, with & rule is the \\  & & Development Index & respect to the three & weighted \\  & & (CDI), Environmental & pillars of & average. \\  & & Performance Index (EPI), & sustainability, weak & No specific data set is & Whenever \\  & & Genuine Progress & and strong & recalled nor used. & possible, \\  & & Indicator (GPI), Genuine & sustainability, & quantitative \\  & & Savings (GS), Human & aggregation and & methods (PCA, \\  & & Development Index & weighting, and & FA, DEA, AHP, \\  & & (HDI), Happy Planet & spatialization. & CA) are \\  & & Index (HPI), Wellbeing & & recommended \\  & & Index (WI), Sustainable & & to calculate \\  & & Society Index (SSI). & & weights. \\ \hline \multirow{9}{*}{[PERSON] and [PERSON] [26]} & & Combined Fuzzy & The method follows & \\  & & Indicator (CFI) is & a typical fuzzy logic & Data from an \\  & & obtained as an & framework with & experimental \\  & & aggregation of & phases for & agricultural field on the \\  & & Individual Fuzzy & structuring, fuzzy & Elm Creek watershed in \\  & & Indicators (IFIs) & modeling, & Bell County, Texas \\  & & including concentration & computation, and & (USA). & IFI values. \\  & & of carbon (C) and & evaluation. & \\  & & phosphorous (P). & & \\ \hline \multirow{9}{*}{[PERSON] and [PERSON] [26]} & & The composite is & The authors apply & \\  & & obtained processing & the non-overlap area & \\  & & values of three basic & distribution & \\  & & indicators: Relative & measurement & \\  & & Strength Index (RSI), & method based on the & 2928 trading days from & The weights \\  & & composite & Commodity Channel & neural network with & January 1989 to \\  & & Index (CCI), and & weighted fuzzy & & December 1998. \\  & & & Current Price Position & membership & \\  & & (CPP). & functions (NEWFM). & \\ \hline \multirow{9}{*}{[PERSON] and [23]} & & Composite index of & & An example is set to \\  & & vulnerability to flooding & assess vulnerability to & \\  & & based on the & Review of four & flooding of 48 \\  & & combination of three & aggregation rules: & hydrological subregions \\  & & dimensions (exposure, & Weighted Linear & in northeastern United \\  & & sensitivity, and adaptive & Combination (WLC), & States. Many datasets \\  & & capacity) and six & Ordered Weighted & are considered to \\  & & reducing the & constituent indicators, & Average (OWA), & construct the constituent \\  & & global & exposed area, forecasted & Data Envelopment & indicators including the \\  & & environmental & frequency of floods, & Analysis (DEA), and & National Land Cover \\  & & change (GEC). & landscape disturbance, & Compromise & Database, US Census, \\  & & protection from financial & Programming (CP). & and National Flood \\  & & loss, and financial & & Insurance Program \\  & & resources. & & dataset. \\ \hline \multirow{9}{*}{[PERSON] et al. [27]} & Socio-economic & & The composite is & \\  & status for & & obtained by & \\  & addressing & need including 27 & aggregating the & \\  & & indicators clustered in 6 & indicators through a & Malawi Multiple \\  & & & & \\  & the health & dimensions. & weighted & \\  & & care system. & & \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Cont.