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How do enterprises determine which breakthrough invention should be commercialized? A multiple attribute group decision-making-based method
The problem of selection of breakthrough inventions to be commercialized (SBIC) is significantly important for innovative enterprises. As the processes of commercializing breakthrough inventions are time-consuming and high-cost, enterprises have to tradeoff among all possible inventions and determin...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9643963/ http://dx.doi.org/10.1007/s40314-022-02068-x |
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author | Tang, Fangcheng Zhang, Yushu Wang, Jun |
author_facet | Tang, Fangcheng Zhang, Yushu Wang, Jun |
author_sort | Tang, Fangcheng |
collection | PubMed |
description | The problem of selection of breakthrough inventions to be commercialized (SBIC) is significantly important for innovative enterprises. As the processes of commercializing breakthrough inventions are time-consuming and high-cost, enterprises have to tradeoff among all possible inventions and determine which inventions should be commercialized. SBIC refers to a process in which multiple experts are invited to evaluate the potential of all inventions from multiple aspects and based on their assessments, the breakthrough inventions to be commercialized are chosen. Hence, the essence of SBIC is consistent with multiple attribute group decision-making (MAGDM). This paper proposes a MAGDM-based model to help enterprises conduct SBIC. In our model, probabilistic dual Pythagorean hesitant fuzzy sets (PDPHFSs) are utilized to represent DMs’ evaluation information, which can express DMs’ evaluation information comprehensively. Then, an attributes’ weights determination method is proposed to handle MAGDM with unknown weights information. Afterwards, we extend the classical projection model into PDPHFSs and introduce a novel MAGDM method and its detailed calculation process is illustrated. Finally, our MAGDM method is applied to an SBIC problem to show its effectiveness. Comparison analysis is conducted to show the advantages of our method. |
format | Online Article Text |
id | pubmed-9643963 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-96439632022-11-14 How do enterprises determine which breakthrough invention should be commercialized? A multiple attribute group decision-making-based method Tang, Fangcheng Zhang, Yushu Wang, Jun Comp. Appl. Math. Article The problem of selection of breakthrough inventions to be commercialized (SBIC) is significantly important for innovative enterprises. As the processes of commercializing breakthrough inventions are time-consuming and high-cost, enterprises have to tradeoff among all possible inventions and determine which inventions should be commercialized. SBIC refers to a process in which multiple experts are invited to evaluate the potential of all inventions from multiple aspects and based on their assessments, the breakthrough inventions to be commercialized are chosen. Hence, the essence of SBIC is consistent with multiple attribute group decision-making (MAGDM). This paper proposes a MAGDM-based model to help enterprises conduct SBIC. In our model, probabilistic dual Pythagorean hesitant fuzzy sets (PDPHFSs) are utilized to represent DMs’ evaluation information, which can express DMs’ evaluation information comprehensively. Then, an attributes’ weights determination method is proposed to handle MAGDM with unknown weights information. Afterwards, we extend the classical projection model into PDPHFSs and introduce a novel MAGDM method and its detailed calculation process is illustrated. Finally, our MAGDM method is applied to an SBIC problem to show its effectiveness. Comparison analysis is conducted to show the advantages of our method. Springer International Publishing 2022-11-08 2022 /pmc/articles/PMC9643963/ http://dx.doi.org/10.1007/s40314-022-02068-x Text en © The Author(s) under exclusive licence to Sociedade Brasileira de Matemática Aplicada e Computacional 2022, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Tang, Fangcheng Zhang, Yushu Wang, Jun How do enterprises determine which breakthrough invention should be commercialized? A multiple attribute group decision-making-based method |
title | How do enterprises determine which breakthrough invention should be commercialized? A multiple attribute group decision-making-based method |
title_full | How do enterprises determine which breakthrough invention should be commercialized? A multiple attribute group decision-making-based method |
title_fullStr | How do enterprises determine which breakthrough invention should be commercialized? A multiple attribute group decision-making-based method |
title_full_unstemmed | How do enterprises determine which breakthrough invention should be commercialized? A multiple attribute group decision-making-based method |
title_short | How do enterprises determine which breakthrough invention should be commercialized? A multiple attribute group decision-making-based method |
title_sort | how do enterprises determine which breakthrough invention should be commercialized? a multiple attribute group decision-making-based method |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9643963/ http://dx.doi.org/10.1007/s40314-022-02068-x |
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