[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-124108-en":3,"doc-seo-124108-105":30,"detail-sidebar-cat-0-en-105":90},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},124108,7971461740886,"Theodore","https://ap-avatar.wpscdn.com/davatar_3d24733baf745e90a7e4bdd5f77d97b2",8,"Research & Report","New Concept to Multi-Criteria Model Automatization - Machine Learning Based Approach","Growing reliance on machine learning (ML) and multicriteria decision analysis (MCDA) reflects the increasing dimensionality of data processing tasks. This paper introduces a hybrid framework that merges MCDA with ML to predict country rankings based on how well Sustainable Development Goal 7 is fulfilled, using decision-makers’ identified preferences. Results indicate the approach functions as a multi-criteria assessment tool when expert knowledge is inaccessible. It also addresses MCDA limitations caused by the need to involve decision-makers.","New Concept to Multi-Criteria Model Automatization-Machine  \nLearning Based Approach  \nJarosław Wa˛tróbski  \nUniversity of Szczecin;  \nNational Institute of Telecommunications  \nSzczecin; Warsaw, Poland [jaroslaw.watrobski@usz.edu.pl](jaroslaw.watrobski@usz.edu.pl)  \nAleksandra Ba˛czkiewicz  \nUniversity of Szczecin  \nSzczecin, Poland [aleksandra.baczkiewicz@usz.edu.pl](aleksandra.baczkiewicz@usz.edu.pl)  \nIgaRudawska  \nUniversity of Szczecin  \nSzczecin, Poland [iga.rudawska@usz.edu.pl](iga.rudawska@usz.edu.pl)  \nAbstract  \nThe commonness of information systems based on machine learning (ML) models and multicriteria decision analysis (MCDA) methods is growing due to the increasing dimensions of data required for processing. This paper presents a hybrid framework combining the MCDA method with ML models to predict the rankings of countries considering the fulfillment of Sustainable Development Goal 7 based on the identified preferences of decision-makers. The results proved that the proposed approach can be regarded as a functional tool for multi-criteria assessment in the case of inaccessibility of experts’ knowledge. The proposed approach enables to mitigate the shortcomings of MCDA methods arising from the necessity to engage decision-makers.  \nKeywords: Decision support systems, Machine learning, Ranking prediction, Multi-Layer Perceptron Regressor, Multi-criteria decision analysis  \n1. Introduction  \nIntelligent information systems based on suitable methods and tools support the deriving of information from large-dimensional data [6] . Limited human cognitive abilities require using data science, including data mining methods, databases, machine learning (ML), and multi-criteria decision analysis (MCDA) . This paper aims to demonstrate a framework combining ML supervised learning algorithms and MCDA methods designed for ranking prediction based on historical data assessed by experts. MCDA methods are useful when consideration of multiple dimensions is required. However, they show a shortcoming visible as a necessity of expert knowledge for determining preferences of considered criteria [2] . The unavailability of experts enforces the use of objective weighting methods based on data, however, there are cases where knowledge of expert preferences is irreplaceable. In such cases, ML models introduced in the proposed framework for ranking prediction may serve as a substitute for experts’ knowledge. The usability of the presented framework is demonstrated on a real-world dataset including performances collected for European countries regarding implementation of the Sustainable Development Goal 7 directives. SDG 7, developed by the UN, is used to measure the achievement of the Sustainable Development Goals toward reliable, sustainable, and affordable energy systems [3] .  \n2. Related works  \nML models are applied for the prediction of indicated variables based on gained data. ML models yield predicted values using algorithms searching a relationship between observed reaction and predictor response by finding dominant patterns. ML models cover artificial neural networks, deep learning models, and architectures such as Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), Deep Belief Networks (DBNs), Generative Adversarial Networks (GANs), Support Vector Machine models (SVM), k-nearest neighbour (KNN), logistic regression (LR), AdaBoost (AB), random forests (RF), genetic algorithms (GA), regression models, such as Linear Regression (LR), and Bayesian Linear Regression (BLR), and others [4, 9, 11] .  \nDesigning intelligent information systems frameworks includes joining ML techniques with other scientific approaches, such as MCDA methods. It enables to rise and expand the practical usability of information systems. Multi-criteria decision support based on a Multi-Layer Perceptron Regressor neural network is the object of research conducted by Guo et al. In the view of the authors, this integration delivers improved per","cbCaijukyoVPBNmX","https://ap.wps.com/l/cbCaijukyoVPBNmX","pdf",118916,1,4,"English","en",105,"# Introduction\n# Related works\n# Methodology\n# Results and discussion\n# Conclusion","[{\"question\":\"What problem does the proposed hybrid framework address?\",\"answer\":\"It addresses the need for expert preferences in MCDA by using ML models to substitute for experts’ knowledge when such knowledge is unavailable.\"},{\"question\":\"How are the country rankings produced in the framework?\",\"answer\":\"The framework predicts rankings by combining MCDA-based expert assessments (using TOPSIS) with supervised ML learning on historical data.\"},{\"question\":\"Which case study is used to validate the approach?\",\"answer\":\"European countries are evaluated with respect to Sustainable Development Goal 7, using Eurostat data for ten SDG 7 indicators covering the years 2013–2022.\"}]","New Concept to Multi-Criteria Model Automatization - Machine Learning Based Approach | PDF",1785820448,10,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":85,"head_meta":87,"extra_data":89,"updated_unix":28},"new-concept-to-multi-criteria-model-automatization-machine-learning-based-approach","",{"@graph":36,"@context":84},[37,53,67],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":21},"https://docshare.wps.com/document/new-concept-to-multi-criteria-model-automatization-machine-learning-based-approach/124108/",{"url":52,"name":13,"@type":54,"author":55,"headline":13,"publisher":57,"fileFormat":60,"inLanguage":23,"description":14,"dateModified":61,"datePublished":61,"encodingFormat":60,"isAccessibleForFree":62,"interactionStatistic":63},"DigitalDocument",{"name":9,"@type":56},"Person",{"url":41,"name":58,"@type":59},"DocShare","Organization","application/pdf","2026-08-04",true,{"@type":64,"interactionType":65,"userInteractionCount":4},"InteractionCounter",{"@type":66},"ViewAction",{"@type":68,"mainEntity":69},"FAQPage",[70,76,80],{"name":71,"@type":72,"acceptedAnswer":73},"What problem does the proposed hybrid framework address?","Question",{"text":74,"@type":75},"It addresses the need for expert preferences in MCDA by using ML models to substitute for experts’ knowledge when such knowledge is unavailable.","Answer",{"name":77,"@type":72,"acceptedAnswer":78},"How are the country rankings produced in the framework?",{"text":79,"@type":75},"The framework predicts rankings by combining MCDA-based expert assessments (using TOPSIS) with supervised ML learning on historical data.",{"name":81,"@type":72,"acceptedAnswer":82},"Which case study is used to validate the approach?",{"text":83,"@type":75},"European countries are evaluated with respect to Sustainable Development Goal 7, using Eurostat data for ten SDG 7 indicators covering the years 2013–2022.","https://schema.org",{"og:url":52,"og:type":86,"og:title":13,"og:site_name":58,"og:description":14},"article",{"robots":88,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":91},[92,96,100,104,109,114,119,122,127,130,133],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":93,"show_sort_weight":94,"slug":95},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":97,"show_sort_weight":98,"slug":99},"Literature",80,"literature",{"id":21,"doc_module":4,"doc_module_name":46,"category_name":101,"show_sort_weight":102,"slug":103},"Exam",70,"exam",{"id":105,"doc_module":4,"doc_module_name":46,"category_name":106,"show_sort_weight":107,"slug":108},5,"Comic",60,"comic",{"id":110,"doc_module":4,"doc_module_name":46,"category_name":111,"show_sort_weight":112,"slug":113},6,"Technology",50,"technology",{"id":115,"doc_module":4,"doc_module_name":46,"category_name":116,"show_sort_weight":117,"slug":118},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":120,"slug":121},30,"research-report",{"id":123,"doc_module":4,"doc_module_name":46,"category_name":124,"show_sort_weight":125,"slug":126},9,"Religion & Spirituality",20,"religion-spirituality",{"id":125,"doc_module":4,"doc_module_name":46,"category_name":128,"show_sort_weight":125,"slug":129},"World Cup","world-cup",{"id":29,"doc_module":4,"doc_module_name":46,"category_name":131,"show_sort_weight":29,"slug":132},"Lifestyle","lifestyle",{"id":134,"doc_module":4,"doc_module_name":46,"category_name":135,"show_sort_weight":105,"slug":136},19,"General","general"]