PUBLISHED PAPERS #02

Gorkhmaz IMANOV, Asif ALIYEV, Khudayar HASANLI.
Interval-valued intuitionistic fuzzy simulation model for control of logistic performance index
Abstract. In this paper, we proposed a methodology based on interval-valued intuitionistic fuzzy techniques to evaluate Logistic Performance Index (LPI), that stands for sustainable economic development scope of the country. The developed algorithm for computation and simulation of LPI set up the core of the prepared approach. Obtained results on expert data and simulated scenarios indicate the LPI level in the country for the present day and its possible change extent respectively. As a consequence of the simulation process we derive that the LPI score level can be improved from medium low to medium high.The results can be used for the score improvement and management of the LPI as the result of logistic performance development. The developed approach can be an option in the generalization of computating methodology of LPI and for the control projects.
Keywords: Logistic Performance Index; interval-valued intuitionistic fuzzy MCDM; simulation model
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DOI: https://doi.org/10.54381/plmo2023.02