An Intuitionistic Fuzzy Approach to Analysis Financial Risk Tolerance with MATLAB in Business

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dc.contributor.authorVinesh Kumar
dc.contributor.authorSandeep Kumar Gupta
dc.contributor.authorRohit Kaushik
dc.contributor.authorSubhask Kumar Verma
dc.contributor.authorOlena Sakovska
dc.date.accessioned2023-10-30T10:04:01Z
dc.date.available2023-10-30T10:04:01Z
dc.date.issued2023-04-02
dc.description.abstractTo deal with the ambiguity and uncertainty, fuzzy set theory and generalization may be used. One of the most active and productive fields of research and development over the past several years has been intuitionistic fuzzy control system theory. An intuitive fuzzy logic system is very similar to how people think. Tolerance for risk is a crucial component of investing. Higher net worth and more discretionary cash often allow business owners to take bigger risks with their investments. In order to examine the risk tolerance capacity in business, we design an intuitionistic fuzzy inference system in this research and introduce a new function called a triangular non-membership function in MATLAB.
dc.identifier.citationKumar, V., Gupta, S.K., Kaushik, R., Verma, S.K., Sakovska, O. (2023). An Intuitionistic Fuzzy Approach to Analysis Financial Risk Tolerance with MATLAB in Business. In: Agrawal, R., Mitra, P., Pal, A., Sharma Gaur, M. (eds) International Conference on IoT, Intelligent Computing and Security. Lecture Notes in Electrical Engineering, vol 982. Springer, Singapore. https://doi.org/10.1007/978-981-19-8136-4_26
dc.identifier.isbn978-981-19-8135-7
dc.identifier.urihttps://lib.udau.edu.ua/handle/123456789/9776
dc.language.isoen
dc.publisherSpringer, Singapore
dc.titleAn Intuitionistic Fuzzy Approach to Analysis Financial Risk Tolerance with MATLAB in Business
dc.typeСтаття
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