Abstract
Composite indicators are increasingly recognised as a useful tool in policy analysis and public communication. They provide simple comparisons of units that can be used to illustrate the complexity of our dynamic environment in wide-ranging fields, such as competitiveness, governance, environment, press, development, peacefulness, tourism, economy, universities, etc. Their construction has been dealt with from several angles. Some authors claim that MCDM techniques are highly suitable in multidimensional frameworks when aggregating single indicators into a composite one, since this process involves making choices when combining criteria of different natures, and it requires a number of steps in which decisions must be made. In this paper, we conduct a literature review of papers published after 2002 in leading international journals indexed in a recognised database (JCR), in order to identify the different MCDM methods used for aggregating single indicators into composite ones. They have been classified in five categories: the elementary methods, the value and utility based methods, the outranking relation approach, the data envelopment analysis based methods and the distance functions based methods. In general, our review has shown a clear tendency towards an increasing number of papers that use MCDM methods to construct composite indicators since 2014.
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Notes
The UTASTAR method is an improved version of the original UTA model and it was proposed by Siskos (1985).
According to Gabus and Fontela (1973), the DEMATEL method is one of the tools used for multiple criteria decision making and it is able to transform qualitative issues into quantitative tasks for analysis.
References
Amado CAF, São-José JMS, Santos SP (2016) Measuring active ageing: a data envelopment analysis approach. Eur J Oper Res 255:207–223
Antanasijevic D, Pocajt V, Ristic M, Peric-Grujic A (2017) A differential multi-criteria analysis for the assessment of sustainability performance of European countries: beyond country ranking. J Clean Prod 165:213–220
Arbolino R, De-Simone L, Carlucci F, Yigitcanlar T (2018) Towards a sustainable industrial ecology: implementation of a novel approach in the performance evaluation of Italian regions. J Clean Prod 178:220–236
Asadzadeh A, Kötter T, Salehi P, Birkmann J (2017) Operationalizing a concept: the systematic review of composite indicator building for measuring community disaster resilience. Int J Disaster Risk Reduct 25:147–162
Attardi R, Cerreta M, Sannicandro V, Torre CM (2018) Non-compensatory composite indicators for the evaluation of urban planning policy: the land-use policy efficiency index (LUPEI). Eur J Oper Res 264(2):491–507
Azapagic A, Perdan S (2005) An integrated sustainability decision-support framework part II: problem analysis. Int J Sustain Dev World Ecol 12(2):112–131
Azevedo SG, Govindan K, Carvalho H, Cruz-Machado V (2012) An integrated model to assess the leanness and agility of the automotive industry. Resour Conserv Recycl 66:84–94
Bana-e-Costa CA, Vansnick JC (1994) MACBETH—an interactive path towards the construction of cardinal value functions. Int Trans Oper Res 1(4):489–500
Bao Q, Ruan D, Shen Y, Hermans E, Janssens D (2012) Improved hierarchical fuzzy TOPSIS for road safety performance evaluation. Knowl Based Syst 32:84–90
Becker W, Paruolo P, Saisana M, Saltelli A (2016) Weights and importance in composite indicators: mind the gap. In: Ghanem R, Higdon D, Owhadi H (eds) Handbook of uncertainty quantification. Springer International Publishing, Berlin, pp 1–30
Belton V, Stewart T (2002) Multiple criteria decision analysis: an integrated approach. Kluwer Academic, Boston
Berrah L, Clivillé C (2007) Towards an aggregation performance measurement system model in a supply chain context. Comput Ind 58:709–719
Bezama A, Szarka N, Wolfbauer J, Lorber KE (2007) Application of a balanced scorecard system for supporting decision-making in contaminated sites remediation. Water Air Soil Pollut 181:3–16
Billaut JC, Bouyssou D, Vincke P (2010) Should you believe in the Shanghai ranking? Scientometrics 84:237–263
Blancas FJ, Caballero R, González M, Lozano-Oyola M, Pérez F (2010) Goal programming synthetic indicators: an application for sustainable tourism in Andalusian coastal counties. Ecol Econ 69(11):2158–2172
Blancas FJ, Lozano-Oyola M, González M, Guerrero FM, Caballero R (2011) How to use sustainability indicators for tourism planning: the case of rural tourism in Andalusia (Spain). Sci Total Environ 412–413:28–45
Boggia A, Massei G, Pace E, Rocchia L, Paolottia L, Attard M (2018) Spatial multicriteria analysis for sustainability assessment: a new model for decision making. Land Use Policy 71:281–292
Brans JP, Vincke P, Mareschal B (1986) How to select and how to rank projects: the PROMETHEE methods. Eur J Oper Res 24:228–238
Cabello JM, Navarro E, Prieto F, Rodríguez B, Ruiz F (2014a) Multicriteria development of synthetic indicators of the environmental profile of the Spanish regions. Ecol Indic 39:10–23
Cabello JM, Ruiz F, Pérez-Gladish B, Méndez-Rodríguez P (2014b) Synthetic indicators of mutual funds’ environmental responsibility: an application of the reference point method. Eur J Oper Res 236:313–325
Carayannis EG, Grigoroudis E, Goletsis Y (2016) A multilevel and multistage efficiency evaluation of innovation systems: a multiobjective DEA approach. Expert Syst Appl 62:63–80
Carrillo M, Jorge JM (2017) Multidimensional analysis of regional tourism sustainability in Spain. Ecol Econ 140:89–98
Charnes A, Cooper WW, Rhodes EL (1978) Measuring the efficiency of decision making units. Eur J Oper Res 2:429–444
Chen F, Wang J, Deng Y (2015) Road safety risk evaluation by means of improved entropy TOPSIS-RSR. J Clean Prod 79:39–54
Cherchye L, Kuosmanen T (2004) Benchmarking sustainable development: a synthetic meta-index approach. Working paper 24. World Institute for Development Economic Research (UNU-WIDER)
Cherchye L, Moesen W, van Puyenbroeck T (2004) Legitimately diverse, yet comparable: on synthesizing social inclusion performance in the EU. J Common Mark Stud 42:919–955
Cherchye L, Lovell CAK, Moesen W, van Puyenbroeck T (2007) One market, one number? A composite indicator assessment of EU internal market dynamics. Eur Econ Rev 51(3):749–779
Cherchye L, Moesen W, Rogge N, van Puyenbroeck T, Saisana M, Saltelli A, Liska R, Tarantola S (2008) Creating composite indicators with DEA and robustness analysis: the case of the technology achievement index. J Oper Res Soc 59:239–251
Cinelli M, Coles SR, Kirwan K (2014) Analysis of the potentials of multicriteria decision analysis methods to conduct sustainabiliy assessment. Ecol Indic 46:138–148
Clivillé C, Berrah L, Mauris G (2007) Quantitative expression and aggregation of performance measurements based on the MACBETH multi-criteria method. Int J Prod Econ 105:171–189
Cooper WW (2005) Origins, uses of, and relations between goal programming and data envelopment analysis. J Multi Criteria Decis Anal 13:3–11
Cracolici MF, Nijkamp P (2008) The attractiveness and competitiveness of tourist destinations: a study of Southern Italian regions. Tour Manag 30:336–344
Dantsis T, Douma C, Giourga C, Loumou A, Polychronaki EA (2010) A methodological approach to assess and compare the sustainability level of agricultural plant production systems. Ecol Indic 10:256–263
Díaz-Balteiro L, Romero C (2004) In search of a natural systems sustainability index. Ecol Econ 49:401–405
De-Mare G, Granata MF, Nesticò A (2015) Weak and strong compensation for the prioritization of public investments: multidimensional analysis for pools. Sustainability 7:16022–16038
Deng JL (1989) Introduction to grey system theory. J Grey Syst 1:1–24
Despotis DK (2005) Measuring human development via data envelopment analysis: the case of Asia and the Pacific. Omega 33(5):385–390
Díaz-Balteiro L, González-Pachón J, Romero C (2017) Measuring systems sustainability with multicriteria methods: a critical review. Eur J Oper Res 258:607–616
Dobos I, Vörösmarty G (2014) Green supplier selection and evaluation using DEA-type composite indicators. Int J Prod Econ 157:273–278
Edwards W (1977) How to use multi-attribute utility measurement for social decision making. IEEE Trans Syst ManCybern 7(5):326–340
Escrig-Olmedo E, Rivera-Lirio JM, Muñoz-Torres M, Fernández-Izquierdo MA (2017) Integrating multiple ESG investors’ preferences into sustainable investment: a fuzzy multicriteria methodological approach. J Clean Prod 162:1334–1345
Frank AG, Molle ND, Gerstlberger W, Bonzanini-Bernardi JA, Cuzzuol-Pedrini D (2016) An integrative environmental performance index for benchmarking in oil and gas industry. J Clean Prod 133:1190–1203
Färe R, Zelenyuk V (2003) On aggregate farrell efficiencies. Eur J Oper Res 146(3):615–620
Freedom House (2017) Freedom of the press 2017. Technical report, Freedom House, Washington
Freudenberg M (2003) Composite indicators of country performance: a critical assessment. https://doi.org/10.1787/405566708255
Gabus A, Fontela E (1973) Perceptions of the world problematique: communication procedure, communicating with those bearing collective responsibility (DEMATEL report no. 1). Battelle Geneva Research Centre, Geneva, Switzerland
Gan X, Fernandez I, Guo J, Wilson M, Zhao Y, Zhou B, Wu J (2017) When to use what: methods for weighting and aggregating sustainability indicators. Ecol Indic 81:491–502
Garcia S, Cintra Y, Torres R, Lima F (2016) Corporate sustainability management: a proposed multi-criteria model to support balanced decision-making. J Clean Prod 136:181–196
Giannetti BF, Bonilla SH, Silva CC, Almeida C (2009) The reliability of experts’ opinions in constructing a composite environmental index: the case of ESI 2005. J Environ Manag 90:2448–2459
Gómez-Limón JA, Riesgo L (2009) Alternative approaches to the construction of a composite indicator of agricultural sustainability: an application to irrigated agriculture in the Duero basin in Spain. J Environ Manag 90:3345–3362
Grigoroudis E, Orfanoudaki E, Zopounidis C (2012) Strategic performance measurement in a healthcare organisation: a multiple criteria approach based on balanced scorecard. Omega 40:104–119
Gu DX, Liang CY, Bichindaritz I, Zuo CR, Wang J (2012) A case-based knowledge system for safety evaluation decision making of thermal power plants. Knowl Based Syst 26:185–195
Haider H, Hewage K, Umer A, Ruparathna R, Chhipi-Shresthab G, Culver K, Holland M, Kay J, Sadiq R (2018) Sustainability assessment framework for small-sized urban neighbourhoods: an application of fuzzy synthetic evaluation. Sustain Cities Soc 36:21–32
Hajkowicz S (2006) Multi-attributed environmental index construction. Ecol Econ 57(1):122–139
Hatefi SM, Torabi SA (2010) A common weight MCDA-DEA approach to construct composite indicators. Ecol Econ 70:114–120
Hernandez-Perdomo EA, Mun J, Rocco CM (2017) Active management in state-owned energy companies: integrating a real options approach into multicriteria analysis to make companies sustainable. Appl Energy 195:487–502
Herrera F, Martinez L (2000) A 2-tuple fuzzy linguistic representation model for computing with words. IEEE Trans Fuzzy Syst 8(6):746–752
Hu YJ, Li XY, Tang BJ (2017) Assessing the operational performance and maturity of the carbon trading pilot program: the case study of Beijing’s carbon market. J Clean Prod 161:1263–1274
Hwang CL, Yoon K (1981) Multiple attribute decision making: methods and applications. Springer, New York
Ignizio JP (1976) Goal programming and extensions. Lexington Books, Lexington
Ijiri Y (1965) Management goals and accounting for control. North-Holland, Amsterdam
Institute For Economics & Peace (2017) Global peace index 2017: Measuring peace in a complex world. Technical report, IEP, Sydney
Jacobs R, Smith P, Goddard M (2004) Measuring performance: an examination of composite performance indicators. Technical report, The University of York and Centre for Health Economics, United Kingdom
Jacquet-Lagrèze E, Siskos Y (1982) Assessing a set of additive utility functions for multicriteria decision making: the UTA method. Eur J Oper Res 10:151–164
Jadidi O, Cavalieri S, Zolfaghari S (2015) An improved multi-choice goal programming approach for supplier selection problems. Appl Math Model 39:4213–4222
Joro T, Korhonen P, Wallenius J (1998) Structural comparison of data envelopment analysis and multiple objective linear programing. Manag Sci 44:962–970
Jun KS, Chung ES, Sung JY, Lee KS (2011) Development of spatial water resources vulnerability index considering climate change impacts. Sci Total Environ 409:5228–5242
Kang SM, Kim MS, Lee M (2002) The trends of composite environmental indices in Korea. J Environ Manag 64:199–206
Kao C (2010) Weight determination for consistently ranking alternatives in multiple criteria decision analysis. Appl Math Model 34:1779–1787
Kao C, Hung H (2007) Management performance: an empirical study of the manufacturing companies in Taiwan. Omega 35:152–160
Kao C, Hung H (2008) Efficiency analysis of university departments: an empirical study. Int J Manag Sci Omega 36:653–664
Keeney R, Raiffa H (1976) Decisions with multiple objectives: preferences and value tradeoffs. Wiley, New York
Kim Y, Chung ES (2014) An index-based robust decision making framework for watershed management in a changing climate. Sci Total Environ 473–474:88–102
Krajnc D, Glavic P (2005) How to compare companies on relevant dimensions of sustainability. Ecol Econ 55:551–563
Kropp WW, Lein JK (2012) Assessing the geographic expression of urban sustainability: a scenario based approach incorporating spatial multicriteria decision analysis. Sustainability 4:2348–2365
Lai E, Lundie S, Ashbolt NJ (2008) Review of multi-criteria decision aid for integrated sustainability assessment of urban water systems. Urban Water J 5(4):315–327
Langhans SD, Reichert P, Schuwirth N (2014) The method matters: a guide for indicator aggregation in ecological assessments. Ecol Indic 45:494–507
Lauras M, Marques G, Gourc D (2010) Towards a multi-dimensional project performance measurement system. Decis Support Syst 48:342–353
Lavoie R, Deslandes J, Proulx C (2016) Assessing the ecological value of wetlands using the MACBETH approach in Quebec city. J Nat Conser 30:67–75
Li W, Yu S, Pei H, Zhao C, Tian B (2017) A hybrid approach based on fuzzy AHP and 2-tuple fuzzy linguistic method for evaluation in-flight service quality. J Air Transp Manag 60:49–63
Madeira-Junior AG, Cardoso-Junior MM, Neyra-Belderrain MC, Ribeiro-Correia A, Schwanz SH (2012) Multicriteria and multivariate analysis for port performance evaluation. Int J Prod Econ 140:450–456
Marques G, Gourc D, Lauras M (2010) Multi-criteria performance analysis for decision making in project management. Int J Proj Manag 29:1057–1069
Martí L, Martín JC, Puertas R (2017) A DEA-logistics performance index. J Appl Econ 20(1):169–192
Melyn, W. and Moesen, W. (1991). Towards a synthetic indicator of macroeconomic performance: unequal weighting when limited information is available. Public economics research paper, 17. CES KU Leuven, Leuven
Mi ZF, Wei YM, He CQ, Li HN, Yuan XC, Liao H (2015) Regional efforts to mitigate climate change in China: a multi-criteria assessment approach. Mitig Adapt Strateg Glob Change 22(1):45–66
Molinos-Senante M, Gómez T, Garrido-Baserba M, Caballero R, Sala-Garrido R (2014) Assessing the sustainability of small wastewater treatment systems: a composite indicator approach. Sci Total Environ 497–498:607–617
Molinos-Senante M, Marques RC, Pérez F, Gómez T, Sala-Garrido R, Caballero R (2016) Assessing the sustainability of water companies: a synthetic indicator approach. Ecol Indic 61(2):577–587
Morais P, Camanho AS (2011) Evaluation of performance of European cities with the aim to promote quality of life improvements. Omega 39:398–409
Munda G (2005) Measuring sustainability: a multi-criterion framework. Environ Dev Sustain 7(1):117–134
Munda G (2008) Social multi-criteria evaluation for a sustainable economy. Springer, New York
Munda G, Nardo M (2009) Noncompensatory/nonlinear composite indicators for ranking countries: a defensible setting. Appl Econ 841(12):1513–1523
Murias P, de Miguel JC, Rodríguez D (2008) A composite indicator for university quality assessment: the case of Spanish higher education system. Soc Indic Res 89:129–146
Nardo M, Saisana M, Saltelli A, Tarantola S (2005) Tools for composite indicators building. Technical report, European Commission, Ispra, Italy
Nardo M, Saisana M, Saltelli A, Tarantola S, Giovannini E, Hoffman A (2008) Handbook on constructing composite indicators. Methodology and user guide, Technical report, OECD, Paris
Navarro E, Tejada M, Almeida F, Cabello J, Cortés R, Delgado J, Fernández F, Gutiérrez G, Luque M, Málvarez G, Marcenaro O, Navas F, Ruiz F, Ruiz J, Solís F (2012) Carrying capacity assessment for tourist destinations. Methodology for the creation of synthetic indicators applied in a coastal area. Tour Manag 33:1337–1346
Oltean-Dumbrava C, Watts G, Miah A (2016) Towards a more sustainable surface transport infrastructure: a case study of applying multi criteria analysis techniques to assess the sustainability of transport noise reducing devices. J Clean Prod 112:2922–2934
Papapostolou A, Karakosta C, Nikas A, Psarras J (2017) Exploring opportunities and risks for RES-E deployment under cooperation mechanisms between EU and Western Balkans: a multi-criteria assessment. Renew Sustain Energy Rev 80:519–530
Paruolo P, Saisana M, Saltelli A (2013) Ratings and rankings: voodoo or science. J R Stat Soc 176:609–634
Petrovic M, Bojkovic N, Anic I, Stamenkovic M, Tarle SP (2014) An ELECTRE-based decision aid tool for stepwise benchmarking: an application over EU digital agenda targets. Decis Support Syst 59:230–241
Plakas KV, Georgiadis AA, Karabelas AJ (2016) Sustainability assessment of tertiary wastewater processes: a multi-criteria analysis. Water Sci Technol 73(7):1532–1540
Rodrigues TC, Montibeller G, Oliveira MD, Bana e Costa CA (2017) Modelling multicriteria value interactions with reasoning maps. Eur J Oper Res 258:1054–1071
Rogge N (2018) On aggregating benefit of the doubt composite indicators. Eur J Oper Res 164:164–369
Rosic M, Pesic D, Kukic D, Antic B, Bozovic M (2017) Method for selection of optimal road safety composite index with examples from DEA and TOPSIS method. Accid Anal Prev 98:277–286
Roy B (1968) Classement et choix en présence de points de vue multiples. R.I.R.O. 2(8):57–75
Roy B (1991) The outranking approach and the foundations of ELECTRE methods. Theory Decis 31(1):49–73
Ruiz F, Cabello JM, Luque M (2011) An application of reference point techniques to the calculation of synthetic sustainability indicators. J Oper Res Soc 62:189–197
Ruiz F, Cabello JM, Pérez B (2017) Building ease-of-doing-business synthetic indicators using a double reference point approach. Technol Forecast Soc Change. https://doi.org/10.1016/j.techfore.2017.06.005
Saaty TL (1977) A scaling method for priorities in hierarchical structures. J Math Psychol 15:234–281
Saaty TL (1980) The analytic hierarchy process. McGraw Hill, New York
Saisana M, Tarantola S (2002) State-of-the-art report on current methodologies and practices for composite indicator development. Technical report, Joint Research Centre, European Commission, Ispra, Italy
Saltelli A (2008) Composite indicators between analysis and advocacy. Soc Indic Res 81(1):65–77
Singh RK, Murty HT, Gupta SK, Dikshit AK (2007) Development of composite sustainability performance index for steel industry. Ecol Indic 7:565–588
Singh RK, Murty HT, Gupta SK, Dikshit AK (2009) An overview of sustainability assessment methodologies. Ecol Indic 9:189–212
Siskos E, Askounis D, Psarras J (2014) Multicriteria decision support for global e-government evaluation. Omega 46:51–63
Siskos J (1985) Analyses de régression et programmation linéaire. Révue de Statistique Appliquée 23(2):41–55
Stewart TJ (1996) Relationships between data envelopment analysis and multiple criteria decision analysis. J Oper Res Soc 47:654–665
The United Nations Development Programme (UNDP) (2016) Human development report 2016. Technical report, UNDP, New York
Torres-Sibille AC, Cloquell-Ballester VA, Cloquell-Ballester VA, Darton R (2009) Development and validation of a multicriteria indicator for the assessment of objective aesthetic impact of wind farms. Renew Sustain Energy Rev 13(1):40–66
Trenado M, Romero M, Cuadrado ML, Romero C (2014) Corporate social responsibility in portfolio selection: a “goal games” against nature approach. Comput Ind Eng 75:260–265
van Calker KJ, Berentsen PBM, Romero C, Giesen GWJ, Huirne RBM (2006) Development and application of a multi-attribute sustainability function for dutch dairy farming systems. Ecol Econ 57:640–658
Van Puyenbroeck T, Rogge N (2017) Geometric mean quantity index numbers with benefit-of-the-doubt weights. Eur J Oper Res 256:1004–1014
Verbunt P, Rogge N (2018) Geometric composite indicators with compromise benefit-of-the-doubt weights. Eur J Oper Res 164:388–401
Voces R, Díaz-Balteiro L, Romero C (2012) Characterization and explanation of the sustainability of the European wood manufacturing industries: a quantitative approach. Expert Syst Appl 39:6618–6627
Wang D, Wan K, Song X (2018) Coal miners’ livelihood vulnerability to economic shock: multi-criteria assessment and policy implications. Energy Policy 114:301–314
Wang J, Wang Z, Yang C, Wang N, Yu X (2012) Optimization of the number of components in the mixed model using multi-criteria decision-making. Appl Math Model 36:4227–4240
Wang Q, Dai HN, Wang H (2017) A smart MCDM framework to evaluate the impact of air pollution on city sustainability: a case study from China. Sustainability 9(6):911
Wang YM, Luo Y (2010) Integration of correlations with standard deviations for determining attribute weights in multiple attribute decision making. Math Comput Model 51:1–12
Wierzbicki AP (1980) The use of reference objectives in multiobjective optimization. In: Fandel G, Gal T (eds) Multiple criteria decision making theory and application, Lecture notes in economics and mathematical systems, vol 177. Springer, Berlin, pp 468–486
World Development Indicators: The World Bank (2017) Gross domestic product GDP 2017. Technical report, The World Bank, Washington
World Economic Forum (2017) The global competitiveness report 2017–2018. Technical report, WEF, Geneva
World Economic Forum (2017) The travel & tourism competitiveness report 2017. Technical report, WEF, Geneva
World Justice Project (2016) The world justice project rule of law index 2016. Technical report, WJP, Washington
Würtenberger L, Koellner T, Binder CR (2006) Virtual land use and agricultural trade: estimating environmental and socio-economic impacts. Ecol Econ 57:679–697
Yu PL (1973) A class of solutions for group decision problems. Manag Sci 19:936–946
Yunna W, Jinying Z, Jianping Y, Shuai G, Habobo Z (2016) Study of decision framework of offshore wind power station site selection based on ELECTRE-III under intuitionistic fuzzy environment: a case of China. Energy Convers Manag 113:66–81
Zeleny M (1974) A concept of compromise solutions and the method of the displaced ideal. Comput Oper Res 1:479–496
Zeng S, Streimikiene D, Balezentis T (2017) Review of and comparative assessment of energy security in Baltic states. Renew Sustain Energy Rev 76:185–192
Zhang H, Peng Y, Tian G, Wang D, Xie P (2017) Green material selection for sustainability: a hybrid MCDM approach. PLoS One 12(5):1–26. https://doi.org/10.1371/journal.pone.0177578
Zhou P, Ang BW, Poh KL (2006) Comparing aggregating methods for constructing the composite environmental index: an objective measure. Ecol Econ 59(3):305–311
Zhou P, Ang BW, Poh KL (2007) A mathematical programming approach to constructing composite indicators. Ecol Econ 62:291–297
Zhou P, Fan LW, Zhou DQ (2010) Data aggregation in constructing composite indicators: a perspective of information loss. Expert Syst Appl 37:360–365
Zinatizadeh S, Azmi A, Monavari SM, Sobhanardakani S (2017) Evaluation and prediction of sustainability of urban areas: a case study for Kermanshah city, Iran. Cities 66:1–9
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We acknowledge the support received from the Spanish Ministry of Economy and Competitiveness (Project ECO2016-76567-C4-4-R) and from the Regional Government of Andalucía (research group PAI-SEJ-417).
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El Gibari, S., Gómez, T. & Ruiz, F. Building composite indicators using multicriteria methods: a review. J Bus Econ 89, 1–24 (2019). https://doi.org/10.1007/s11573-018-0902-z
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DOI: https://doi.org/10.1007/s11573-018-0902-z
Keywords
- Composite/synthetic indicators
- Multicriteria decision making
- Multicriteria analysis
- Indicator framework
- Aggregation
- Compensation