310
Index
Complexity (cont.)
multi-indicator system, 19, 291
SWB, 245
synthesizing, 18
traditional statistical techniques, 23
Complex systems, 18–20
Composite indicator, 23, 32–34, 48, 49
Composition of actions, 230
Conceptual modeling, 17, 21, 23
Conservative evaluation, 158
Consumer price index (CPI), 3
Copeland-Index, 121–124, 126, 127, 129, 131,
132
Correlation, 96–97
Cost criteria (Cost), 157, 159
Countries levels of sustainability, 272
Crucial weights, 46, 50, 52–56, 59–60
D
Dashboard of Sustainability (DS), 109, 111,
112, 116
Data matrix, 295–296
Data uncertainty, xi
Decision
MCDA, 182
support systems, 45, 47–52
Deep ranking analysis, 270
Deep Ranking Analysis by Power Eigenvectors
(DRAPE), xvi
Africa, 277–279, 283, 284
America, 277, 278, 281, 282
Asian countries, 277
Asia-Oceania, 280, 281, 285, 286
coefficients, 286
CPWR ranking plots, 276–277
data countries, 274, 275
data set, 268, 272–273
decision process, 267
deep ranking analysis, 270
Europe, 278–280
human well-being indicators, 277
indicators, 286
linear transform, 271
MCDM, 267
PWR, 268–270
regression coefficients, 278
retro-regression analysis, 268, 270–271
software, 274
thresholds, 274
tournament table, 268–270
traditional ranking methods, 282–284
variable weights, 271
weighting schemes, 274
Democratic Republic of Congo (DRC), 236
Dependent indicators
correlations, 120
decisions, 129
effect of removal, 123
environmental indicators, 120
linear and multiple linear, 123
and primary variables, 120, 122
for seawater and brine, 121
Desalination
brine discharge, 122
chlorine, 131
environmental indicators, 119, 120
in the GCC, 126, 128, 130
seawater, 119, 132
Design-workflow
actions and resulting objects, 9, 10
aggregation method, 10–11
risk measure, 11–12
risk threshold, 11
scale, 10
scope and borders, 10
Deterministic models, vii
Dimensionality, 21–22
Dominance eigenvector, 226, 228
Dominance functions (DOM), 282
Duquenne/Guigues-basis, 86, 87, 100
Dynamic model, 12, 14
E
Ecological footprint (EFP), 206, 208, 212
ELECTRE methods, 45
Environmental chemistry, 25, 63
Environmental Criteria (ENCr), 157, 159
Environmental hazard, 25, 120
Environmental indicators, 119, 120
Environmental management, 64, 77, 108
Environmental ranking, 126
Environment Performance Index (EPI), vii
European Union Survey on Income and Living
Conditions (Eu-SILC), 247
EUSES (practical tool in risk assessment), vii
Evaluation
basic theory, 84–85
definition, 84
Duquenne/Guigues basis, 86–87
exploration, 85–86
G. Restrepo’s, 83
mapping, 84
meet-operation, 93
program PyHasse, 116
triples, 83
Index
Complexity (cont.)
multi-indicator system, 19, 291
SWB, 245
synthesizing, 18
traditional statistical techniques, 23
Complex systems, 18–20
Composite indicator, 23, 32–34, 48, 49
Composition of actions, 230
Conceptual modeling, 17, 21, 23
Conservative evaluation, 158
Consumer price index (CPI), 3
Copeland-Index, 121–124, 126, 127, 129, 131,
132
Correlation, 96–97
Cost criteria (Cost), 157, 159
Countries levels of sustainability, 272
Crucial weights, 46, 50, 52–56, 59–60
D
Dashboard of Sustainability (DS), 109, 111,
112, 116
Data matrix, 295–296
Data uncertainty, xi
Decision
MCDA, 182
support systems, 45, 47–52
Deep ranking analysis, 270
Deep Ranking Analysis by Power Eigenvectors
(DRAPE), xvi
Africa, 277–279, 283, 284
America, 277, 278, 281, 282
Asian countries, 277
Asia-Oceania, 280, 281, 285, 286
coefficients, 286
CPWR ranking plots, 276–277
data countries, 274, 275
data set, 268, 272–273
decision process, 267
deep ranking analysis, 270
Europe, 278–280
human well-being indicators, 277
indicators, 286
linear transform, 271
MCDM, 267
PWR, 268–270
regression coefficients, 278
retro-regression analysis, 268, 270–271
software, 274
thresholds, 274
tournament table, 268–270
traditional ranking methods, 282–284
variable weights, 271
weighting schemes, 274
Democratic Republic of Congo (DRC), 236
Dependent indicators
correlations, 120
decisions, 129
effect of removal, 123
environmental indicators, 120
linear and multiple linear, 123
and primary variables, 120, 122
for seawater and brine, 121
Desalination
brine discharge, 122
chlorine, 131
environmental indicators, 119, 120
in the GCC, 126, 128, 130
seawater, 119, 132
Design-workflow
actions and resulting objects, 9, 10
aggregation method, 10–11
risk measure, 11–12
risk threshold, 11
scale, 10
scope and borders, 10
Deterministic models, vii
Dimensionality, 21–22
Dominance eigenvector, 226, 228
Dominance functions (DOM), 282
Duquenne/Guigues-basis, 86, 87, 100
Dynamic model, 12, 14
E
Ecological footprint (EFP), 206, 208, 212
ELECTRE methods, 45
Environmental chemistry, 25, 63
Environmental Criteria (ENCr), 157, 159
Environmental hazard, 25, 120
Environmental indicators, 119, 120
Environmental management, 64, 77, 108
Environmental ranking, 126
Environment Performance Index (EPI), vii
European Union Survey on Income and Living
Conditions (Eu-SILC), 247
EUSES (practical tool in risk assessment), vii
Evaluation
basic theory, 84–85
definition, 84
Duquenne/Guigues basis, 86–87
exploration, 85–86
G. Restrepo’s, 83
mapping, 84
meet-operation, 93
program PyHasse, 116
triples, 83