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Modeling the Financial Sustainability of Organizations Using Fuzzy Sets

Student: Selgeev Aleksandr

Supervisor: Konstantin Lvovich Polyakov

Faculty: Faculty of Economic Sciences

Educational Programme: Economics (Bachelor)

Final Grade: 7

Year of Graduation: 2016

This approach deals with the construction of fuzzy inference system to assess the financial sustainability of companies in the industry of the coal mining, brown coal mining and peat. In this paper analyzed the basic models of fuzzy inference, methodology and parameters of assessment of financial sustainability of the companies. Identified indicators of financial sustainability in the industry of the coal mining, brown coal mining and peat during the period from 2007 to 2014 using the fuzzy inference system. On the basis of the financial stability of companies of the sector indices presented a brief description of the financial sustainability of the industry as a whole.

Full text (added May 12, 2016)

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