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Journal of Automation and Information Sciences

Publication de 12  numéros par an

ISSN Imprimer: 1064-2315

ISSN En ligne: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

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Valuation of Startups Investment Attractiveness Based on Neuro-Fuzzy Technologies

Volume 48, Numéro 9, 2016, pp. 1-22
DOI: 10.1615/JAutomatInfScien.v48.i9.10
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RÉSUMÉ

A mathematical model for evaluating startups investment attractiveness based on neuro-fuzzy technologies is proposed. It allows one to take into account not only a statistical uncertainty but also a linguistic one. The parameters optimization of created fuzzy model on the stage of its adjustment is performed using one of the undifferential optimization methods − Shor r- algorithm. The software that implements the proposed approach is developed. The results of modeling to define real startups investment attractiveness are presented

CITÉ PAR
  1. Chereshnyuk Oksana, Panasyuk Valentyna, Sachenko Svitlana, Adamyk Oksana, Fuzzy Approach for Determining the Competitiveness of Innovative Project, 2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2019. Crossref

  2. Kiseleva Elena, Prytomanova Olga, Padalko Vadim, An Algorithm for Constructing Additive and Multiplicative Voronoi Diagrams Under Uncertainty, in Lecture Notes in Computational Intelligence and Decision Making, 1246, 2021. Crossref

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