Abstract
The adoption of socio-economic, organizational and managerial decisions in most cases implies the implementation of a procedure for multi-criteria selection of alternatives, in which possible options for alternative solutions are assessed according to two or more criteria. The existing guidelines for assessing the feasibility and effectiveness of managerial decisions involve the use of scalar evaluation criteria based on financial and economic indicators. However, in real situations, these indicators are still weakly structured. Based on this premise, the paper discusses the problem of evaluating alternative solutions, where the indicators are considered in the form of qualitative evaluation criteria with different degrees of importance. The paper proposes a balanced approach to the multi-criteria assessment of the solvency of individuals, based on a fuzzy analysis of their solvency indicators. In particular, the developed fuzzy inference system in combination with statistical methods for assessing solvency, can serve as an analytical core for a credit decision support system. Moreover, to estimate the effectiveness of investment projects the fuzzy method of weighted maximin convolution of criteria was chosen as an assessment tool, which was tested on the example of ten hypothetical alternatives.
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Aliyev, E., Rzayev, R., Aliev, E., Ali, A. (2022). Multi-criteria Assessment of Alternative Solutions in Micro-crediting and Investment in a Portfolio Using Fuzzy Methods of Analysis. In: Arai, K. (eds) Advances in Information and Communication. FICC 2022. Lecture Notes in Networks and Systems, vol 438. Springer, Cham. https://doi.org/10.1007/978-3-030-98012-2_15
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