{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,20]],"date-time":"2026-08-20T22:52:49Z","timestamp":1787266369477,"version":"build-2736575974"},"reference-count":84,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2025,5,21]],"date-time":"2025-05-21T00:00:00Z","timestamp":1747785600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100008982","name":"Qatar National Research Fund","doi-asserted-by":"publisher","award":["GSRA6-1-0614-19088"],"award-info":[{"award-number":["GSRA6-1-0614-19088"]}],"id":[{"id":"10.13039\/100008982","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100008982","name":"Qatar National Research Fund","doi-asserted-by":"publisher","award":["I-GA-1030"],"award-info":[{"award-number":["I-GA-1030"]}],"id":[{"id":"10.13039\/100008982","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004252","name":"Qatar University","doi-asserted-by":"publisher","award":["GSRA6-1-0614-19088"],"award-info":[{"award-number":["GSRA6-1-0614-19088"]}],"id":[{"id":"10.13039\/501100004252","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004252","name":"Qatar University","doi-asserted-by":"publisher","award":["I-GA-1030"],"award-info":[{"award-number":["I-GA-1030"]}],"id":[{"id":"10.13039\/501100004252","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Foods"],"abstract":"<jats:p>Food security indices are widely used to support decision making and provide a structured assessment of countries\u2019 capacities to withstand global environmental and economic crises. However, these indices have inherent limitations, including potential biases in ranking and a lack of structural insights into food system dynamics. This study presents a systematic approach that combines elastic-net regression-based feature selection and two-step clustering to address some of these limitations and equip decision makers with structured procedures for making informed decisions and supporting food system management. The mathematical and operational procedures of the proposed approach were demonstrated through an illustrative example using the EIU dataset of 94 countries. The study investigated the sensitivity of composite indicators to extreme data points, relative weights, and dimensionality reduction. After applying elastic-net regression, 15 indicators were selected for Model 1 (M1) and 9 for Model 2 (M2) from an initial set of 25 indicators. Subsequently, two-step clustering grouped the countries into four distinct clusters, reflecting combinations of food system characteristics and income levels. The results demonstrate that countries with industrialized, consolidated food systems and high per capita income tend to exhibit greater food security. Conversely, countries with rural or traditional food systems and low-income levels are more vulnerable to food insecurity. By incorporating statistical rigor and empirical structure discovery, this methodology addresses key limitations of existing indices. It provides an adaptive, transparent framework that informs targeted policy by linking the structural characteristics of food systems to tangible food security outcomes.<\/jats:p>","DOI":"10.3390\/foods14101834","type":"journal-article","created":{"date-parts":[[2025,5,21]],"date-time":"2025-05-21T13:59:43Z","timestamp":1747835983000},"page":"1834","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Moving Beyond Indices: A Systematic Approach Integrating Food System Performance and Characteristics for Comprehensive Food Security Assessment"],"prefix":"10.3390","volume":"14","author":[{"given":"Muna","family":"A. Al-Ansari","sequence":"first","affiliation":[{"name":"Department of Mechanical and Industrial Engineering, College of Engineering, Qatar University, Doha P.O. Box 2713, Qatar"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-3689-5718","authenticated-orcid":false,"given":"Hamad","family":"Nabeel","sequence":"additional","affiliation":[{"name":"Department of Mechanical and Industrial Engineering, College of Engineering, Qatar University, Doha P.O. Box 2713, Qatar"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1957-2546","authenticated-orcid":false,"given":"Galal M.","family":"Abdella","sequence":"additional","affiliation":[{"name":"Department of Mechanical and Industrial Engineering, College of Engineering, Qatar University, Doha P.O. Box 2713, Qatar"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6141-9687","authenticated-orcid":false,"given":"Tarek","family":"El Mekkawy","sequence":"additional","affiliation":[{"name":"Department of Mechanical and Industrial Engineering, College of Engineering, Qatar University, Doha P.O. Box 2713, Qatar"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,5,21]]},"reference":[{"key":"ref_1","unstructured":"Food and Agriculture Organization of the United Nations (2025, April 22). Food Security: Concepts and Measurement. Available online: https:\/\/www.fao.org\/4\/y4671e\/y4671e06.htm."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Stringer, R. (2016). Food Security Global Overview. Food Poverty and Insecurity: International Food Inequalities, Springer.","DOI":"10.1007\/978-3-319-23859-3_2"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1111\/agec.12305","article-title":"Food Security as Resilience: Reconciling definition and measurement","volume":"47","author":"Upton","year":"2016","journal-title":"Agric. Econ."},{"key":"ref_4","unstructured":"Henry, B., Murphy, B., and Cowie, A. (2018). Sustainable Land Management for Environmental Benefits and Food Security, A Synthesis Report for the GEF."},{"key":"ref_5","first-page":"383","article-title":"Food production & availability\u2014Essential prerequisites for sustainable food security","volume":"138","author":"Swaminathan","year":"2013","journal-title":"Indian J. Med. Res."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"619","DOI":"10.1080\/20421338.2020.1774962","article-title":"Resilience to shocks and food insecurity: Determinants, and the impact of smallholder Jatropha curcas cultivation in Southern Malawi","volume":"13","author":"Chamdimba","year":"2021","journal-title":"Afr. J. Sci. Technol. Innov. Dev."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1080\/21553769.2016.1209133","article-title":"Nutrition security is an integral component of food security","volume":"9","author":"Hwalla","year":"2016","journal-title":"Front. Life Sci."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Nahid, N., Lashgarara, F., Hosseini, S.J.F., Mirdamadi, S.M., and Rezaei-Moghaddam, K. (2021). Determining the Resilience of Rural Households to Food Insecurity during Drought Conditions in Fars Province, Iran. Sustainability, 13.","DOI":"10.3390\/su13158384"},{"key":"ref_9","unstructured":"Campanhola, C., and Pandey, S. (2019). Climate Change, Agriculture and Food Security: Impacts and the Potential for Adaptation and Mitigation. Sustainable Food and Agriculture\u2014An Integrated Approach, The Food and Agricultural Organisation of the United Nations (FAO)."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"107324","DOI":"10.1016\/j.eiar.2023.107324","article-title":"How does climate change affect food security? Evidence from China","volume":"104","author":"Lee","year":"2024","journal-title":"Environ. Impact Assess. Rev."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1","DOI":"10.9734\/jeai\/2024\/v46i113021","article-title":"Climate Change Impacts on Agricultural Systems Mitigation and Adaptation Strategies: A Review","volume":"46","author":"Eswaran","year":"2024","journal-title":"J. Exp. Agric. Int."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"212","DOI":"10.1016\/j.gfs.2019.07.007","article-title":"Water scarcity impacts on global food production","volume":"23","author":"Dinar","year":"2019","journal-title":"Glob. Food Secur."},{"key":"ref_13","first-page":"701","article-title":"Threats To Food Security And Common Agricultural Policy","volume":"59","author":"Kwasek","year":"2013","journal-title":"Econ. Agric."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"880","DOI":"10.1111\/1365-2745.12791","article-title":"Resilience and food security: Rethinking an ecological concept","volume":"105","author":"Bullock","year":"2017","journal-title":"J. Ecol."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1016\/j.gfs.2016.06.002","article-title":"Reducing risks to food security from climate change","volume":"11","author":"Campbell","year":"2016","journal-title":"Glob. Food Secur."},{"key":"ref_16","first-page":"232","article-title":"The threats to food security","volume":"7","author":"Korneiko","year":"2018","journal-title":"Amazon. Investig."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"100514","DOI":"10.1016\/j.gfs.2021.100514","article-title":"Food security and welfare changes under COVID-19 in Sub-Saharan Africa: Impacts and responses in Kenya","volume":"28","author":"Nechifor","year":"2021","journal-title":"Glob. Food Secur."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"100526","DOI":"10.1016\/j.gfs.2021.100526","article-title":"The impact of the COVID-19 pandemic on fish consumption and household food security in Dhaka city, Bangladesh","volume":"29","author":"Mandal","year":"2021","journal-title":"Glob. Food Secur."},{"key":"ref_19","first-page":"27","article-title":"Promoting Sustainable Agriculture and Climate Resilience in African Nations","volume":"9","author":"Erezi","year":"2023","journal-title":"Int. J. Agric. Earth Sci."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"3928","DOI":"10.24294\/jipd.v8i6.3928","article-title":"The complex system of climate change security and the ripple effect of water\u2013food\u2013socioeconomic nexus","volume":"8","author":"Abdalwahab","year":"2024","journal-title":"J. Infrastruct. Policy Dev."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1080\/14783363.2012.669536","article-title":"Integrating quality management principles into sustainability management","volume":"24","author":"Kuei","year":"2013","journal-title":"Total Qual. Manag. Bus. Excell."},{"key":"ref_22","unstructured":"Meade, B., and Thome, K. (2017). International Food Security Assessment, 2017\u20132027. Amber Waves: The Economics of Food, Farming, Natural Resources, and Rural America, U.S. Department of Agriculture, Economic Research Service."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1038\/s41538-018-0021-9","article-title":"The science of food security","volume":"2","author":"Cole","year":"2018","journal-title":"NPJ Sci. Food"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"57","DOI":"10.30525\/2256-0742\/2019-5-2-57-64","article-title":"Conceptual Fundamentals of Development of the Food Security System","volume":"5","author":"Irtyshcheva","year":"2019","journal-title":"Balt. J. Econ. Stud."},{"key":"ref_25","unstructured":"Rosen, S., Meade, B., Fuglie, K., and Rada, N.E. (2014). International Food Security Assessment, 2014\u20132024, United States Department of Agriculture."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1016\/j.gfs.2017.06.003","article-title":"Food security measurement and governance: Assessment of the usefulness of diverse food insecurity indicators for policy makers","volume":"14","author":"Gubert","year":"2017","journal-title":"Glob. Food Secur."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"106674","DOI":"10.1016\/j.eiar.2021.106674","article-title":"A framework to assess food security in regional strategic environmental assessment","volume":"91","author":"Rohr","year":"2021","journal-title":"Environ. Impact Assess. Rev."},{"key":"ref_28","unstructured":"von Grebmer, K., Bernstein, J., Hossain, N., Brown, T., Prasai, N., Yohannes, Y., Patterson, F., Sonntag, A., Zimmerman, S.-M., and Towey, O. (2017). 2017 Global Hunger Index: The Inequalities of Hunger, International Food Policy Research Institute. Available online: https:\/\/ideas.repec.org\/b\/fpr\/ifprib\/9780896292710.html."},{"key":"ref_29","unstructured":"Thomas, A.-C., Dhombres, B., Casubolo, C., Saisana, M., and Kayitakire, F. (2017). The Use of the Global Food Security Index to Inform the Situation in Food Insecure Countries, The Joint Research Centre. EUR 28885 EN."},{"key":"ref_30","first-page":"69","article-title":"Redesigning The Global Food Security Index: A Multivariate Composite I-Distance Indicator Approach","volume":"4","author":"Maricic","year":"2016","journal-title":"Int. J. Food Agric. Econ."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1023\/A:1016275505152","article-title":"An Overview and Evaluation of Composite Indices of Development","volume":"59","author":"Booysen","year":"2002","journal-title":"Soc. Indic. Res."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"100549","DOI":"10.1016\/j.gfs.2021.100549","article-title":"Exploring the disparity in global food security indicators","volume":"29","author":"Poudel","year":"2021","journal-title":"Glob. Food Secur."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Pangaribowo, E.H., Gerber, N., and Torero, M.A. (2013). Food and Nutrition Security Indicators: A Review. SSRN.","DOI":"10.2139\/ssrn.2237992"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"100783","DOI":"10.1016\/j.gfs.2024.100783","article-title":"Validating the Food Insecurity Experience Scale for Use In Analyses of Recent Food Insecurity","volume":"42","author":"Cafiero","year":"2024","journal-title":"Glob. Food Secur."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"1273","DOI":"10.1007\/s10460-023-10418-6","article-title":"Measuring the end of hunger: Knowledge politics in the selection of SDG food security indicators","volume":"40","author":"Iversen","year":"2023","journal-title":"Agric. Hum. Values"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"126931","DOI":"10.1016\/j.jclepro.2021.126931","article-title":"A novel approach for developing composite eco-efficiency indicators: The case for US food consumption","volume":"299","author":"Abdella","year":"2021","journal-title":"J. Clean. Prod."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1016\/j.eiar.2011.06.001","article-title":"Review of sustainability indices and indicators: Towards a new City Sustainability Index (CSI)","volume":"32","author":"Mori","year":"2012","journal-title":"Environ. Impact Assess. Rev."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"491","DOI":"10.1016\/j.ecolind.2017.05.068","article-title":"When to use what: Methods for weighting and aggregating sustainability indicators","volume":"81","author":"Gan","year":"2017","journal-title":"Ecol. Indic."},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Al-Ansari, M.A., Nabeel, H., Abdella, G.M., El Mekkawy, T., and Kutty, A.A. (2024). A Non-Parametric Approach-Based Trade-Off between Food System Efficiency and Robustness. Sustainability, 16.","DOI":"10.20944\/preprints202404.1564.v1"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"505","DOI":"10.1016\/j.eiar.2006.12.005","article-title":"Sustainability index for Taipei","volume":"27","author":"Lee","year":"2007","journal-title":"Environ. Impact Assess. Rev."},{"key":"ref_41","unstructured":"Freudenberg, M. (2003). Composite Indicators of Country Performance: A Critical Assessment, OECD Science, Technology and Industry Working Papers."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"288","DOI":"10.1016\/j.ecolind.2014.03.004","article-title":"Transport sustainability index: Melbourne case study","volume":"43","author":"Reisi","year":"2014","journal-title":"Ecol. Indic."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"103777","DOI":"10.1016\/j.scs.2022.103777","article-title":"Sustainability Performance of European Smart Cities: A Novel DEA Approach with Double Frontiers","volume":"81","author":"Kutty","year":"2022","journal-title":"Sustain. Cities Soc."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"1124","DOI":"10.1126\/science.185.4157.1124","article-title":"Judgment under uncertainty: Heuristics and biases","volume":"185","author":"Tversky","year":"1974","journal-title":"Science"},{"key":"ref_45","unstructured":"Dias, L., Morton, A., and Quigley, J. (2018). Individual and Group Biases in Value and Uncertainty Judgments. International Series in Operations Research and Management Science, Springer."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1007\/s00187-011-0127-6","article-title":"The impact of biases on simulation-based risk aggregation: Modeling cognitive influences on risk assessment","volume":"22","author":"Meyer","year":"2011","journal-title":"J. Manag. Control"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"264","DOI":"10.1111\/risa.13725","article-title":"What is a Good Calibration Question?","volume":"42","author":"Hemming","year":"2021","journal-title":"Risk Anal."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"522","DOI":"10.3390\/forecast5030029","article-title":"Shrinking the Variance in Experts\u2019 \u201cClassical\u201d Weights Used in Expert Judgment Aggregation","volume":"5","author":"Dharmarathne","year":"2023","journal-title":"Forecasting"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1111\/risa.12345","article-title":"There is Data, and then there is Data: Only Experimental Evidence will Determine the Utility of Differential Weighting of Expert Judgment","volume":"35","author":"Bolger","year":"2015","journal-title":"Risk Anal."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"1009","DOI":"10.1080\/01446190802422146","article-title":"Toward collective organizational values: A case study in UK construction","volume":"26","author":"Zhang","year":"2008","journal-title":"Constr. Manag. Econ."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"106588","DOI":"10.1016\/j.eiar.2021.106588","article-title":"A mixed model-based Johnson\u2019s relative weights for eco-efficiency assessment: The case for global food consumption","volume":"89","author":"Abdella","year":"2021","journal-title":"Environ. Impact Assess. Rev."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1016\/j.ssci.2019.06.036","article-title":"Penalized Conway-Maxwell-Poisson regression for modelling dispersed discrete data: The case study of motor vehicle crash frequency","volume":"120","author":"Abdella","year":"2019","journal-title":"Saf. Sci."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1016\/j.ecolind.2015.11.045","article-title":"Emergy and end-point impact assessment of agricultural and food production in the United States: A supply chain-linked Ecologically-based Life Cycle Assessment","volume":"62","author":"Park","year":"2016","journal-title":"Ecol. Indic."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"20150202","DOI":"10.1098\/rsta.2015.0202","article-title":"Principal component analysis: A review and recent developments","volume":"374","author":"Jolliffe","year":"2016","journal-title":"Philos. Trans. R. Soc. A Math. Phys. Eng. Sci."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"134203","DOI":"10.1016\/j.jclepro.2022.134203","article-title":"Urban resilience and livability performance of European smart cities: A novel machine learning approach","volume":"378","author":"Kutty","year":"2022","journal-title":"J. Clean. Prod."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"104293","DOI":"10.1016\/j.cities.2023.104293","article-title":"Measuring sustainability, resilience and livability performance of European smart cities: A novel fuzzy expert-based multi-criteria decision support model","volume":"137","author":"Kutty","year":"2023","journal-title":"Cities"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1111\/j.1467-9868.2005.00503.x","article-title":"Regularization and variable selection via the elastic net","volume":"67","author":"Zou","year":"2005","journal-title":"J. R. Stat. Soc. Ser. B Stat. Methodol."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"3628","DOI":"10.1093\/bioinformatics\/btz135","article-title":"Benefits of dimension reduction in penalized regression methods for high-dimensional grouped data: A case study in low sample size","volume":"35","author":"Ajana","year":"2019","journal-title":"Bioinformatics"},{"key":"ref_59","first-page":"249","article-title":"Comparative analysis of modern concepts in modeling global food security","volume":"37","author":"Riepina","year":"2024","journal-title":"Sci. Notes"},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"e13674","DOI":"10.7717\/peerj.13674","article-title":"Agricultural big data and methods and models for food security analysis\u2014A mini-review","volume":"10","author":"Ammar","year":"2022","journal-title":"PeerJ"},{"key":"ref_61","doi-asserted-by":"crossref","unstructured":"Herteux, J., R\u00e4th, C., Martini, G., Baha, A., Koupparis, K., Lauzana, I., and Piovani, D. (2023). Forecasting Trends in Food Security: A Reservoir Computing Approach. arXiv.","DOI":"10.1038\/s43247-024-01698-9"},{"key":"ref_62","doi-asserted-by":"crossref","unstructured":"Bofa, A., and Zewotir, T. (2024). A bayesian spatio-temporal dynamic analysis of food security in Africa. Sci. Rep., 14.","DOI":"10.1038\/s41598-024-65989-z"},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"612","DOI":"10.52131\/pjhss.2024.v12i1.2063","article-title":"Panel Quantile Approach towards Exigent Determinants of Food Security in the Selected Developing Countries","volume":"12","author":"Asim","year":"2024","journal-title":"Pak. J. Humanit. Soc. Sci."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"597","DOI":"10.1007\/s12571-021-01143-1","article-title":"Measuring disaggregate level food insecurity via multivariate small area modelling: Evidence from rural districts of Uttar Pradesh, India","volume":"13","author":"Guha","year":"2021","journal-title":"Food Secur."},{"key":"ref_65","first-page":"625","article-title":"Multivariate small area estimation of undernutrition for children under five using official statistics","volume":"38","author":"Yilema","year":"2022","journal-title":"Stat. J. IAOS"},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1007\/s12571-020-01132-w","article-title":"A nonparametric analysis of household-level food insecurity and its determinant factors: Exploratory study in Ethiopia and Nigeria","volume":"13","author":"Bakhtsiyarava","year":"2021","journal-title":"Food Secur."},{"key":"ref_67","doi-asserted-by":"crossref","unstructured":"Nabeel, H., Alansari, M., Abdella, G.M., Kutty, A.A., and Al Mohannadi, I.M. (2023, January 18\u201320). An Input-Output-Based Assessment of the Global Food Security Index. Proceedings of the 6th European International Conference on Industrial Engineering and Operations Management, Lisbon, Portugal.","DOI":"10.46254\/EU6.20230395"},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"609","DOI":"10.1111\/j.1467-985X.2012.01059.x","article-title":"Ratings and rankings: Voodoo or science?","volume":"176","author":"Paruolo","year":"2013","journal-title":"J. R. Stat. Soc. Ser. A Stat. Soc."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1016\/j.spc.2018.09.007","article-title":"Measuring sustainable food consumption: A case study on organic food","volume":"17","author":"Azzurra","year":"2019","journal-title":"Sustain. Prod. Consum."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1002\/sd.2134","article-title":"A frontier-based managerial approach for relative sustainability performance assessment of the world\u2019s airports","volume":"29","author":"Kucukvar","year":"2020","journal-title":"Sustain. Dev."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"119661","DOI":"10.1016\/j.jclepro.2019.119661","article-title":"Sustainability assessment and modeling based on supervised machine learning techniques: The case for food consumption","volume":"251","author":"Abdella","year":"2020","journal-title":"J. Clean. Prod."},{"key":"ref_72","first-page":"112","article-title":"Measuring regional differences in food security from access and stability dimensions: A methodological proposal based on elasticities","volume":"66","author":"Ribal","year":"2020","journal-title":"Agric. Econ."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1111\/j.2517-6161.1996.tb02080.x","article-title":"Regression Shrinkage and Selection via the Lasso","volume":"58","author":"Tibshirani","year":"1996","journal-title":"J. R. Stat. Soc. Ser. B Stat. Methodol."},{"key":"ref_74","unstructured":"Hastie, T., Taylor, J., Tibshirani, R., and Walther, G. (2007). Stagewise algorithms and lasso-type problems. arXiv."},{"key":"ref_75","first-page":"72","article-title":"On Performance of Shrinkage Methods\u2014A Monte Carlo Study","volume":"5","author":"Oyeyemi","year":"2015","journal-title":"Int. J. Stat. Appl."},{"key":"ref_76","unstructured":"(2025, April 22). Global Food Security Index (GFSI). Available online: https:\/\/impact.economist.com\/sustainability\/project\/food-security-index\/."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"1347","DOI":"10.1002\/sd.2088","article-title":"A system thinking approach for harmonizing smart and sustainable city initiatives with United Nations sustainable development goals","volume":"28","author":"Kutty","year":"2020","journal-title":"Sustain. Dev."},{"key":"ref_78","unstructured":"Kutty, A.A., Yetiskin, Z., Abraham, M.M., Nooh, M.A., Kucukvar, M., and Abdella, G.M. (2025, April 22). An Empirical Assessment on the Transportation Sustainability Indicators and their Impact on Economic Productivity, 2020. Available online: http:\/\/qspace.qu.edu.qa\/handle\/10576\/31868."},{"key":"ref_79","unstructured":"Majeed, W.A., and Hamad, M.M. (2024, January 22\u201325). Exploring High-Dimensional Outlier Detection: A Comprehensive Study on Methods and Applications Using PCA and k-NN Algorithm. Proceedings of the 2024 21st International Multi-Conference on Systems, Signals and Devices (SSD), Erbil, Iraq."},{"key":"ref_80","unstructured":"Kohavi, R. (1995, January 20\u201325). A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection. Proceedings of the 14th International Joint Conference on Artificial Intelligence, Montreal, QB, Canada. Available online: https:\/\/www.ijcai.org\/Proceedings\/95-2\/Papers\/016.pdf."},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"2839","DOI":"10.1016\/j.patcog.2015.03.009","article-title":"Performance evaluation of classification algorithms by k-fold and leave-one-out cross validation","volume":"48","author":"Wong","year":"2015","journal-title":"Pattern Recognit."},{"key":"ref_82","unstructured":"(2025, April 22). Food Systems Dashboard. Available online: https:\/\/www.foodsystemsdashboard.org\/."},{"key":"ref_83","unstructured":"(2025, April 22). World Bank, WDI\u2014The World by Income and Region. Available online: https:\/\/datatopics.worldbank.org\/world-development-indicators\/the-world-by-income-and-region.html."},{"key":"ref_84","unstructured":"von Grebmer, K., Bernstein, J., Patterson, F., Wiemers, M., Ch\u00e9illeachair, R.N., Foley, C., Ekstrom, K., and Fritschel, H. (2019). 2019 Global Hunger Index: The Challenge of Hunger and Climate Change, Concern Worldwide."}],"container-title":["Foods"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2304-8158\/14\/10\/1834\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T17:36:44Z","timestamp":1760031404000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2304-8158\/14\/10\/1834"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,21]]},"references-count":84,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2025,5]]}},"alternative-id":["foods14101834"],"URL":"https:\/\/doi.org\/10.3390\/foods14101834","relation":{},"ISSN":["2304-8158"],"issn-type":[{"value":"2304-8158","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,5,21]]}}}