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

dc.contributor.author Vinesh Kumar
dc.contributor.author Sandeep Kumar Gupta
dc.contributor.author Rohit Kaushik
dc.contributor.author Subhask Kumar Verma
dc.contributor.author Olena Sakovska
dc.date.accessioned 2023-10-30T10:04:01Z
dc.date.available 2023-10-30T10:04:01Z
dc.date.issued 2023-04-02
dc.description.abstract To 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.citation Kumar, 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.isbn 978-981-19-8135-7
dc.identifier.uri https://lib.udau.edu.ua/handle/123456789/9776
dc.language.iso en
dc.publisher Springer, Singapore
dc.title An Intuitionistic Fuzzy Approach to Analysis Financial Risk Tolerance with MATLAB in Business
dc.type Стаття
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