Affiliations: [a] School of Economics and Management, Southeast University, Nanjing, Jiangsu, China
| [b] School of Computer Science and Engineering, Southeast University, Nanjing, Jiangsu, China
Correspondence:
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Corresponding author. Xinwang Liu, School of Economics and Management, Southeast University, Nanjing, 210096 Jiangsu, China. Tel.: +86 258 379 4008; Fax: +86 258379 4731; E-mail: [email protected].
Abstract: Different from the traditional supply chain, there are more uncertainty in the supply chain of social commerce (SCOSC), which brings new risk. As a fundamental stage in the supply chain risk management (SCRM), risk assessment can effectively control risks in supply chain. To address risk preference of decision makers (DMs) and the criteria ambiguity, this paper proposes an extended generalized TODIM (an acronym in Portuguese of interactive and multi-criteria decision making) method within interval type-2 fuzzy sets (IT2FSs) to evaluate the risk of the SCOSC. First, the generalized TODIM is extended with two different value functions based on two types of criteria, cost and benefit, and the alternatives are ranked according to the distance to the ideal solution and the negative-ideal solution. Second, the IT2FSs is applied to deal with the linguistics ambiguity with the generalized TODIM method. Furthermore, the risk assessment of SCOSC based on the extended generalized TODIM within IT2FSs is proposed. Finally, a case of the risk assessment in SCOSC is presented to validate the effectiveness of the proposed method.
Keywords: Supply chain of social e-commerce, risk assessment, generalized TODIM, interval type-2 fuzzy set
