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A SMARTS-Choquet’s approach for multicriteria decision aid applied to the innovation indexes in sustainability dimensions

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Abstract

this paper purpose is aligning innovation indicators regarding Ignacy Sach’s sustainability dimensions. The methodology applies multicriteria decision for ordering countries according to the innovation indicators most sustainable founded at Sachs’ dimensions alignment. Innovation indicators were considered about their impact as each one of eight Sach’s sustainability dimensions impact. Regarding methodology, this paper proposes a hybrid method SMARTS-Choquet with SMARTS-TOPSIS’ to use in sensibility analysis. Multicriteria decision aid (MCDA) used considered selection and ordination. Results show eleven countries from 127 sustained their ranking positions using SMARTS-TOPSIS; whilst 126 countries changed completely using SMARTS-Choquet application, provoking a different perspective for investments in these countries; considering MCDA sensibility analysis. The Methodology consider innovation indicators’ relevance, strongest indicators from each dimension, where selection for ordering a ranking where the sustainability aligned to innovation promotes a ranking with the countries more innovative but also sustainable countries.

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Acknowledgements

To Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) and Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) for helding researches by schoolarships. To Professor Maria Augusta Machado for validating part of the data applied along operational research team.

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Correspondence to Marcela do Carmo Silva.

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There is no conflict of interest declared by all the authors.

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This article does not contain any studies with human participants performed by any of the authors. This article does not contain any studies with animals performed by any of the authors.

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Communicated by V. Loia.

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See Table 8 and 9.

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Silva, M.C., Brito Alves Lima, G., Simões Gomes, C.F. et al. A SMARTS-Choquet’s approach for multicriteria decision aid applied to the innovation indexes in sustainability dimensions. Soft Comput 23, 7117–7133 (2019). https://doi.org/10.1007/s00500-018-3353-0

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  • DOI: https://doi.org/10.1007/s00500-018-3353-0

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