Selection of third-party logistics in supply chain finance under probabilistic complex hesitant fuzzy sets and distance measures

• DOI: 10.1016/j.heliyon.2024.e36544
• Publication Date: 2024-08-23T09:43:15Z
• Authors: Shougi S. Abosuliman; Ijaz UR Rahman; Saleem Abdullah; Abbas Qadir
• Keywords: Social sciences (General); H1-99; Q1-390; Science (General); Probabilistic hesitant fuzzy set; 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology; Distance measures; Decision making; Third party logistic; Research Article

Financial institutions attach great importance to the multiple attribute decision-making (MADM) problems of selecting an effective third-party logistics (3PL) service provider in supply chain finance. A suitable 3PL can not only assist financial carrying out finance activity but also replace supervising operation a target financing chain, therefore minimizing institutions' operating risks. However, there is no sufficient study on selection provider. Hence, objective this paper establish innovative concept "probabilistic complex hesitant fuzzy set" (PCHFS), which hybrid structure set and probabilistic manage information real-decision theory. This examines periodicity extends range from [