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Design Trend Forecasting by Combining Conceptual Analysis and Semantic Projections: New Tools for Open Innovation

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Design Trend Forecasting by Combining Conceptual Analysis and Semantic Projections: New Tools for Open Innovation

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dc.contributor.author Manetti, Alessandro es_ES
dc.contributor.author Ferrer Sapena, Antonia es_ES
dc.contributor.author Sánchez Pérez, Enrique Alfonso es_ES
dc.contributor.author Lara-Navarra, Pablo es_ES
dc.date.accessioned 2022-10-04T18:04:39Z
dc.date.available 2022-10-04T18:04:39Z
dc.date.issued 2021-03-10 es_ES
dc.identifier.uri http://hdl.handle.net/10251/186985
dc.description.abstract [EN] In this paper, we describe a new trend analysis and forecasting method (Deflexor), which is intended to help inform decisions in almost any field of human social activity, including, for example, business, art and design. As a result of the combination of conceptual analysis, fuzzy mathematics and some new reinforcing learning methods, we propose an automatic procedure based on Big Data that provides an assessment of the evolution of design trends. The resulting tool can be used to study general trends in any field¿depending on the data sets used¿while allowing the evaluation of the future acceptance of a particular design product, becoming in this way, a new instrument for Open Innovation. The mathematical characterization of what is a semantic projection, together with the use of the theory of Lipschitz functions in metric spaces, provides a broad-spectrum predictive tool. Although the results depend on the data sets used, the periods of updating and the sources of general information, our model allows for the creation of specific tools for trend analysis in particular fields that are adaptable to different environments. es_ES
dc.description.sponsorship This research was funded by Istituto Europeo di Design and Generalitat Valenciana, Cátedra de Transparencia y Gestión de Datos, Universitat Politècnica de València (PID2019-105708RBC21 (MICIU/FEDER,UE)). es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Journal of Open Innovation: Technology, Market, and Complexity es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Fuzzy set es_ES
dc.subject Lipschitz function es_ES
dc.subject Trend es_ES
dc.subject Forecasting es_ES
dc.subject Reinforcement learning es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.subject.classification BIBLIOTECONOMIA Y DOCUMENTACION es_ES
dc.title Design Trend Forecasting by Combining Conceptual Analysis and Semantic Projections: New Tools for Open Innovation es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/joitmc7010092 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-105708RB-C21/ES/SP1: DATAUSE STABLE METHODOLOGIES TO EVALUATE AND MEASURE QUALITY, INTEROPERABILITY, BLOCKCHAIN AND REUSE OF OPEN DATA IN THE AGRICULTURAL FIELD/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Comunicación Audiovisual, Documentación e Historia del Arte - Departament de Comunicació Audiovisual, Documentació i Història de l'Art es_ES
dc.description.bibliographicCitation Manetti, A.; Ferrer Sapena, A.; Sánchez Pérez, EA.; Lara-Navarra, P. (2021). Design Trend Forecasting by Combining Conceptual Analysis and Semantic Projections: New Tools for Open Innovation. Journal of Open Innovation: Technology, Market, and Complexity. 7(1):1-26. https://doi.org/10.3390/joitmc7010092 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/joitmc7010092 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 26 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 7 es_ES
dc.description.issue 1 es_ES
dc.identifier.eissn 2199-8531 es_ES
dc.relation.pasarela S\431603 es_ES
dc.contributor.funder AGENCIA ESTATAL DE INVESTIGACION es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder Universitat Politècnica de València es_ES
upv.costeAPC 920 es_ES


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