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Keywords: Dempster–Shafer theory Fuzzy sets theory Supplier selection TOPSIS MCDM a b s t r a c t Supplier selection is a multi-criterion decision making problem under uncertain environments. Hence, it is reasonable to hand the problem in fuzzy sets theory (FST) and Dempster Shafer theory of evidence (DST). In this paper, a new MCDM methodology, using FST(More)
In the development of E-Commerce, security has always been the core and key issue. In this paper, a new model is proposed to assist E-Commerce practitioners in the assessment of E-Commerce security. The proposed model is based on Analytical Hierarchy Process (AHP) and Dempster–Shafer (DS) theory of evidence. First, according to the characteristics of(More)
—In recent years, the gene expression profiles are used for cancer recognition. But the researchers are disturbed by their large variables and small observes. In this paper, a novel feature selection method based on correlation-based feature selection(CFS) was proposed. Firstly, the measures of variable to variable and variable to observe were calculated(More)
Supplier selection is an important issue in supply chain management (SCM), and essentially is a multi-criteria decision-making problem. Supplier selection highly depends on experts' assessments. In the process of that, it inevitably involves various types of uncertainty such as imprecision, fuzziness and incompleteness due to the inability of human being's(More)
A common algorithm to solve the shortest path problem (SPP) is the Dijkstra algorithm. In this paper, a generalized Dijkstra algorithm is proposed to handle SPP in an uncertain environment. Two key issues need to be addressed in SPP with fuzzy parameters. One is how to determine the addition of two edges. The other is how to compare the distance between two(More)