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. Obviously, such decisions include a multi-criteria choice of investment strategies for certain projects. Actually, the justification of the economic feasibility, the scope of the planned work and the timing of their implementation, as well as a detailed description of the practical development of the planned capital investments constitute the subject and content of each investment project. The existing guidelines for assessing the feasibility and effectiveness of investment projects 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 article discusses the problem of evaluating investment projects, where the indicators of project performance are considered in the form of qualitative evaluation criteria with different degrees of importance. The fuzzy method of weighted maximin convolution of criteria was chosen as an assessment tool, which was tested on the example of ten hypothetical investment projects.
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Aliyev, E., Rzayev, R., Ali, A. (2022). Multi-criteria Evaluation of Investment Projects Using the Fuzzy Method of Weighted Maximin Convolution. In: Aliev, R.A., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Babanli, M., Sadikoglu, F.M. (eds) 11th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions and Artificial Intelligence - ICSCCW-2021. ICSCCW 2021. Lecture Notes in Networks and Systems, vol 362. Springer, Cham. https://doi.org/10.1007/978-3-030-92127-9_89
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DOI: https://doi.org/10.1007/978-3-030-92127-9_89
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