Title :
Fuzzy Evaluation Based on Trapezoidal Fuzzy Numbers Similarity for Supply Risk of Manufacturer
Author :
Lei Wen ; Peng Li
Author_Institution :
Dept. of Econ. & Manage., North China Electr. Power Univ., Baoding, China
Abstract :
In supply chain risk management, supply risk management is thus recognized as a important problem which can help core manufacturer more efficiently. This paper is aimed to present a supply risk analysis methods based on trapezoidal fuzzy numbers similarity to solve this problem. By using two linguistic terms Probability of failure and Severity of loss, the supply risk of manufacturer can be calculated and expressed with linguistic term. At last, an example is used to identify the efficiency of this method.
Keywords :
fuzzy set theory; probability; risk management; supply chains; core manufacturer; fuzzy evaluation; supply chain risk management; trapezoidal fuzzy numbers similarity; Biological system modeling; Companies; Pragmatics; Risk management; Supply chains; fuzzy risk analysis; numbers similarity; supply risk; trapezoidal fuzzy;
Conference_Titel :
Information Science and Management Engineering (ISME), 2010 International Conference of
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-7669-5
Electronic_ISBN :
978-1-4244-7670-1
DOI :
10.1109/ISME.2010.240
