A.Yu. Shatalova1, D.A. Solodovnikov2

1,2 Financial University under the Government of the Russian Federation (Moscow, Russia)

Problem setting. In practice, when solving economic problems, experts often encounter the problem of non-rigidly specified input parameters and constraints. This may be due to the so-called linguistic uncertainty, often found in everyday speech, as well as inaccurately defined economic indicators or calculation errors. This problem can be solved by describing fuzzy data using fuzzy set theory.

Target. To develop an algorithm that implements finding the maximum profit from the investment process based on the simplex method.

Results. An algorithm is proposed that implements a mathematical and economic model of the fuzzy linear programming problem for optimizing investment projects using Java. The mathematical model is based on the parametric α-level method of λ-continuation for the problem of fuzzy linear programming, which reduces the problem of fuzzy linear programming using the parameters α (level of uncertainty) and λ (level of flexibility) to a simplex method, in order to maximize the profit received from investing.

Practical significance. The presented solution, implemented as a mobile application using the Android Studio environment, allows you to automate the process of maximizing profits (minimizing initial investments) received from the investment process. Along with this advantage, a person solving economic problems is given the opportunity to use the developed algorithm in a mobile environment with high-quality UI and UX design. In addition, by declaring static arrays instead of dynamic ones, the developed algorithm allows you to allocate the necessary memory in advance for calculating and optimizing RAM.

Shatalova A.Yu., Solodovnikov D.A. The problem of fuzzy linear automation in microeconomics on the example of optimization of investment projects. Neurocomputers. 2023. V. 25. № 4. Р. 65-70. DOI: https://doi.org/10.18127/j19998554-202304-08 (In Russian)

1. Financial Analysis: Definition, Importance, Types, and Examples. [Electronic resource] – Access mode: https://www.investo-pedia.com/terms/f/financial-analysis.asp, date of reference 12.03.2023.
2. Peremitina T.O. Quality management of software systems: a textbook. Tomsk: El Content. 2011. 228 p. (In Russian)
3. Shatalova A.Yu., Lebedev K.A. Parametric α-level method of λ-continuation for the problem of fuzzy linear programming. Bulletin of the Buryat State University. Mathematics, computer science. 2018. № 1. P. 34–51. (In Russian)
4. Grodzensky S.Ya., Chesalin A.N. Using the fuzzy logic apparatus to assess the reliability of automated systems. Nonlinear world. 2017. V. 15. № 4. P. 17–23. (In Russian)
5. Tkachenko O.N. Interaction of users with interfaces of information systems for mobile devices: research of experience: textbook. Moscow: Master's degree: INFRA-M. 2021. 152 p. (In Russian)
6. Ignatiev A.V. Software testing. 2nd ed. Saint Petersburg: Lan. 2022. 56 p. (In Russian)
7. Jason's Blog. [Электронный ресурс] – Режим доступа: https://jasongoh1987.blogspot.com/, дата обращения 12.03.2023.