An Extension of MOORA Approach for Group Decision Making based on Interval valued Intuitionistic Fuzzy Numbers in Digital Supply Chain


Joint 17th World Congress of International-Fuzzy-Systems-Association / 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS), Otsu City, Japan, 27 - 30 June 2017 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/ifsa-scis.2017.8023358
  • City: Otsu City
  • Country: Japan
  • Keywords: digital supply chain, supplier selection, interval valued intuitionistic fuzzy, Multi-objective Optimization by Ratio Analysis
  • Galatasaray University Affiliated: Yes


Digital Supply Chain (DSC) is an intelligent process that leverages innovative solutions with emerging technological means to generate new forms of revenue and business value for organizations. Stakeholders in supply chains, whether selling goods or services, do use, generate and share information with others. Interest in DSC is growing by both from academics and businesses. Supplier selection constitutes one of the crucial tasks from a supply chain digitalization perspective. This paper approaches the supplier selection problem in a DSC environment, which by its nature depends on many parameters. Therefore, a multi-criteria analysis and solution methodology is presented, which incorporates decision makers' insufficient knowledge and other pressures involved in the evaluation with the help of an extension of MOORA (Multi-objective Optimization by Ratio Analysis) ratio system approach. This method uses interval valued intuitionistic fuzzy numbers and a group decision making approach, which is demonstrated on a real case study to demonstrate the validity of the proposed approach for selecting suitable suppliers in DSC.