Fuzzy Evaluation Method on the Financing Efficiency of Small and Medium-Sized Enterprises

There are numerous obstacles to the long-term success of small and medium-sized businesses as a result of rising rivalry and pervasive internal inconsistencies caused by the economy's breakneck expansion (SMEs). Because it represents both the company's current development status and its possible future prospects, a scientific evaluation of the company's capacity for sustainable growth is crucial. To make the best decisions as a group, it's helpful to employ both linguistic term sets and tentative fuzzy preference relations. E-commerce activities have been encouraged as a means to improve corporate efficiency thanks to the recent technological revolution and the growth of the digital economy. Increasing online store revenue by utilising MIS and AI is a well-established practice. That technique has grown in significance for modern corporate operations. The survival and growth of micro, small, and medium-sized businesses is an ongoing issue in every region of the world. This funding is crucial for SMEs. Machines, robots, and industrial engineering in general have greatly benefited from the application of fuzzy logic. In this chapter, we will explore how fuzzy logic may be used in the realm of financial management. As a result of globalisation, an intricate web of connections has emerged in the corporate world. This means that the elements influencing businesses' financial health are more numerous, complicated, and uncertain in a free market economy. Under the uncertain fuzzy language setting, this study presents a new method utilising a multiplicative consistency adjustment technique. Finally, The expansion of small and medium-sized businesses has been a driving force in the nation's enterprises (SMEs) will be evaluated using the unique fuzzy linguistic decision-making approach. A comparison with existing methods is done to find out what the proposed method is good for and if it can work.