Sari, Kazim2024-03-132024-03-132015978-3-662-43871-8978-3-662-43870-1https://doi.org/10.1007/978-3-662-43871-8_191https://hdl.handle.net/20.500.12662/33044th International Conference on Logistics, Informatics and Service Science (LISS) -- JUL 23-26, 2014 -- Beijing Jiaotong Univ, Sch Econ & Management, Beijing, PEOPLES R CHINAToday making a decision on the level of collaboration in a supply chain is very important problem for the managers of a supply chain. For the purpose of helping them make better decisions, in this research, we aim to develop a fuzzy rule-based decision support system. To achieve this, firstly, the factors that are important for the level of collaboration in a supply chain are extracted. Later, the fuzzy rules are established by using the related literature in SCM area. At this point, expert opinions are also used. Finally, applicability of the proposed fuzzy rule-based decision support system is demonstrated with an illustrative example.eninfo:eu-repo/semantics/closedAccessSupply chain collaborationDecision support systemFuzzy rulesConference Object10.1007/978-3-662-43871-8_19113221317WOS:000358424900189N/A