Ordered weighted averaging for the evaluation of urban inequality in sao Sebastião Do Paraíso

[1]  P. Ekel,et al.  The Use of Information Entropy and Expert Opinion in Maximizing the Discriminating Power of Composite Indicators , 2024, Entropy.

[2]  P. Ekel,et al.  A goal-based weighting for composite indicators constructed through Ordered Weighted Averaging (OWA) operator , 2024, MethodsX.

[3]  F. Vidoli,et al.  Harnessing Spatial Heterogeneity in Composite Indicators through the Ordered Geographically Weighted Averaging (OGWA) Operator , 2023, Geographical Analysis.

[4]  Weihua Wang,et al.  Technological or social? Influencing factors and mechanisms of the psychological digital divide in rural Chinese elderly , 2023, Technology in Society.

[5]  M. Grimaldi,et al.  A crime risk-based approach for urban planning. A methodological proposal , 2023, Land Use Policy.

[6]  Z. Venter,et al.  Environmental justice in a very green city: Spatial inequality in exposure to urban nature, air pollution and heat in Oslo, Norway. , 2022, The Science of the total environment.

[7]  Elisa Fusco Potential improvements approach in composite indicators construction: The Multi-directional Benefit of the Doubt model , 2022, Socio-Economic Planning Sciences.

[8]  P. Ekel,et al.  Representing Multidimensional Phenomena of Geographic Interest: Benefit of the Doubt or Principal Component Analysis? , 2022, The Professional Geographer.

[9]  A. Garcia-Bernabeu,et al.  Measuring urban sustainability performance through composite indicators for Spanish cities , 2022, Journal of Cleaner Production.

[10]  Matheus Pereira Libório,et al.  Measuring inequality through a non-compensatory approach , 2021, GeoJournal.

[11]  S. Rezende,et al.  Cost of doing business index in Latin America , 2021, Quality & Quantity.

[12]  Benjamin H. Bradlow Embeddedness and cohesion: regimes of urban public goods distribution , 2021, Theory and Society.

[13]  P. Cocca,et al.  Composite Indicators to Measure Quality of Working Life in Europe: A Systematic Review , 2021, Social Indicators Research.

[14]  S. Matthews,et al.  Who gets what, where, and how much? Composite index of spatial inequality for small areas in Tehran , 2021, Regional Science Policy & Practice.

[15]  P. Ekel,et al.  Measuring Intra-Urban Inequality with Structural Equation Modeling: A Theory-Grounded Indicator , 2020, Sustainability.

[16]  Yiwen Zhang,et al.  MCDA Index Tool: an interactive software to develop indices and rankings , 2020, Environment Systems and Decisions.

[17]  Y. Wei,et al.  Urban inequalities in the 21st century economy , 2020, Applied Geography.

[18]  Eugenia Nissi,et al.  A Spatial Composite Indicator for Human and Ecosystem Well-Being in the Italian Urban Areas , 2020, Social Indicators Research.

[19]  E. J. Fernández,et al.  REVIEW OF SOME STATISTICAL METHODS FOR CONSTRUCTING COMPOSITE INDICATORS , 2020 .

[20]  A. Saltelli,et al.  Quantitative Storytelling in the Making of a Composite Indicator , 2020, Social Indicators Research.

[21]  S. Owuor,et al.  Do Urban Food Deserts Exist in the Global South? An Analysis of Nairobi and Mexico City , 2019, Sustainability.

[22]  Matteo Mazziotta,et al.  Use and Misuse of PCA for Measuring Well-Being , 2019 .

[23]  Saro Lee,et al.  GIS Multi-Criteria Analysis by Ordered Weighted Averaging (OWA): Toward an Integrated Citrus Management Strategy , 2019, Sustainability.

[24]  Trinidad Gómez,et al.  Building composite indicators using multicriteria methods: a review , 2019 .

[25]  Samuel J. Ratick,et al.  Implications of indicator aggregation methods for global change vulnerability reduction efforts , 2018, Mitigation and Adaptation Strategies for Global Change.

[26]  Romeo Danielis,et al.  Composite indicators of sustainable urban mobility: Estimating the rankings frequency distribution combining multiple methodologies , 2018 .

[27]  S. Greco,et al.  On the Methodological Framework of Composite Indices: A Review of the Issues of Weighting, Aggregation, and Robustness , 2018, Social Indicators Research.

[28]  José M. Merigó,et al.  Exploring the Ordered Weighted Averaging Operator Knowledge Domain: A Bibliometric Analysis , 2017, Int. J. Intell. Syst..

[29]  Asad Asadzadeh,et al.  Operationalizing a concept: The systematic review of composite indicator building for measuring community disaster resilience , 2017 .

[30]  William Becker,et al.  Weights and importance in composite indicators: Closing the gap , 2017, Ecological indicators.

[31]  Biresh K. Sahoo,et al.  Spatial heterogeneity in composite indicator: A methodological proposal , 2017, Omega.

[32]  Issaka Dialga,et al.  Highlighting Methodological Limitations in the Steps of Composite Indicators Construction , 2017 .

[33]  S. Matthews,et al.  Measuring Spatial Accessibility to Urban Facilities and Services in Tehran , 2016, Spatial Demography.

[34]  Helen M. Regan,et al.  Assessing the sustainability of freshwater systems: A critical review of composite indicators , 2016, Ambio.

[35]  Petr Ekel,et al.  On multicriteria decision making under conditions of uncertainty , 2015, Inf. Sci..

[36]  Jianguo Wu,et al.  Defining and measuring urban sustainability: a review of indicators , 2015, Landscape Ecology.

[37]  Roxani Karagiannis,et al.  A system-of-equations two-stage DEA approach for explaining capacity utilization and technical efficiency , 2015, Ann. Oper. Res..

[38]  S. Greco,et al.  Decision support systems for environmental management: a case study on wastewater from agriculture. , 2014, Journal of environmental management.

[39]  Ali Emrouznejad,et al.  Ordered Weighted Averaging Operators 1988–2014: A Citation‐Based Literature Survey , 2014, Int. J. Intell. Syst..

[40]  Jun Yang,et al.  An analysis of education inequality in China , 2014 .

[41]  Yongjun Li,et al.  Increasing the Discriminatory Power of DEA Using Shannon's Entropy , 2014, Entropy.

[42]  Marijn Verschelde,et al.  A composite index of citizen satisfaction with local police services , 2013 .

[43]  Giuseppe Munda,et al.  Intensity of preference and related uncertainty in non-compensatory aggregation rules , 2012, Theory and Decision.

[44]  Kristina Tobio,et al.  Inequality in Cities , 2009 .

[45]  Robert Ivor John,et al.  Type-1 OWA operators for aggregating uncertain information with uncertain weights induced by type-2 linguistic quantifiers , 2008, Fuzzy Sets Syst..

[46]  Gary Higgs,et al.  The use of spatial analytical techniques to explore patterns of fire incidence: A South Wales case study , 2007, Comput. Environ. Urban Syst..

[47]  Jacek Malczewski,et al.  GIS‐based multicriteria decision analysis: a survey of the literature , 2006, Int. J. Geogr. Inf. Sci..

[48]  Vicenç Torra,et al.  OWA operators in data modeling and reidentification , 2004, IEEE Transactions on Fuzzy Systems.

[49]  Jacek Malczewski,et al.  GIS-based land-use suitability analysis: a critical overview , 2004 .

[50]  Z. S. Xu,et al.  An overview of operators for aggregating information , 2003, Int. J. Intell. Syst..

[51]  Bilal M. Ayyub,et al.  Strategic Implementation of Infrastructure Priority Projects: Case Study in Palestine , 2002 .

[52]  Ronald R. Yager,et al.  On ordered weighted averaging aggregation operators in multicriteria decisionmaking , 1988, IEEE Trans. Syst. Man Cybern..

[53]  Lindsey Conrow,et al.  Measuring inequalities in urban systems: An approach for evaluating the distribution of amenities and burdens , 2021, Comput. Environ. Urban Syst..

[54]  L. Paolotti,et al.  Development of multicriteria modules for environmental valu- ation in GRASS GIS , 2013 .

[55]  T. Blaschke,et al.  GIS-multicriteria decision analysis for landslide susceptibility mapping: comparing three methods for the Urmia lake basin, Iran , 2012, Natural Hazards.

[56]  Stefano Tarantola,et al.  Tools for Composite Indicators Building , 2005 .

[57]  M. O'Hagan,et al.  Aggregating Template Or Rule Antecedents In Real-time Expert Systems With Fuzzy Set Logic , 1988, Twenty-Second Asilomar Conference on Signals, Systems and Computers.

[58]  C. Spearman The proof and measurement of association between two things. By C. Spearman, 1904. , 1987, The American journal of psychology.