A Neutrosophic Decision-Making Model for Determining Young People’s Active Engagement

Mihaela Colhon, Monica Tilea (), Ana González-Marcos (), Alina Reşceanu (), Florentin Smarandache () and Fermín Navaridas-Nalda ()
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Mihaela Colhon: Department of Computer Science, University of Craiova, 13 Al. I. Cuza St., Craiova, Romania
Monica Tilea: Department of Romance and Classical Languages, University of Craiova, 13 Al. I. Cuza St., Craiova, Romania
Ana González-Marcos: Mechanical Engineering Department, University of La Rioja, 93 Avenida de La Paz, Logroño, Spain
Alina ReÅŸceanu: Department of British, American and German Studies, University of Craiova, 13 Al. I. Cuza St., Craiova, Romania
Florentin Smarandache: Department of Mathematics, University of New Mexico, 705 Gurley Ave., Gallup, New Mexico 87301, USA
Fermín Navaridas-Nalda: Department of Education, University of La Rioja, 93 Avenida de La Paz, Logroño, Spain

International Journal of Information Technology & Decision Making (IJITDM), 2024, vol. 23, issue 02, 569-598

Abstract: Young people’s skills and attitudes must be observed, studied and evaluated in order to create appropriate models that would serve an educational purpose. In this paper, we propose a decision-making model with the aim to detect certain attitudinal and behavioral patterns of actively engaged young people. The data used in this research resulted from a questionnaire drawn up by a group of researchers from six European countries with the aim to investigate the youth’s awareness about the Sustainable Development Goals and their engagement as active agents of development and change at regional level. For the purpose of this study, we selected the regional results obtained from administering this questionnaire in Dolj County (Romania) and La Rioja (Spain). We developed a neutrosophic model that determines the Mindchanger profile of the respondents based on a minimal set of questions, which is dependent on the inclusion or exclusion of the nationality-specific traits. The resulting decisions were then compared with the respondents’ self-evaluations, yielding high precisions (more than 0.83) for all the investigated evaluation scenarios. Our results were significantly better than the ones provided by several machine learning models applied on the same set of data. A direct impact of our model is that it can be applied to questionnaires which include linguistic responses that express, among others, unclear or vague thoughts. Additionally, it offers the possibility to identify the minimal set of questions that impact the respondent’s answer choice to a target question.

Keywords: Neutrosophic representation; decision-making model; attribute selection; uncertainty reasoning; questionnaire analysis; youth engagement (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1142/S0219622023500384

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