Title :
A Supplier Evaluation Based on the Closeness Degree of Triangular Fuzzy Number Research
Author :
Peili Qiao ; Lijie Shi ; Likun Fu
Author_Institution :
Dept. of Comput. Sci. & Technol., Harbin Univ. of Sci. & Technol., Harbin, China
Abstract :
In order to effectively evaluate the technical level, management ability, service level and operating environment of suppliers, this paper introduces a closeness degree to evaluate the supplier based on triangular fuzzy number. Initialized a supplier evaluation index system and the supplier evaluation language set, this paper establishes a triangular fuzzy complementary judgment matrix of supplier evaluation index using fuzzy analytic hierarchy process. Though the accuracy of matrix, then the index weight could be determined. This paper cites the concept of closeness degree. After obtained the closeness degree of the evaluation index of unevaluated suppliers and ideal suppliers, it creates the order of the suppliers´ comprehensive ability. Finally, the paper gives simulation examples to verify the effectiveness of this proposed method.
Keywords :
analytic hierarchy process; fuzzy set theory; supply chain management; closeness degree; fuzzy analytic hierarchy process; supplier evaluation index system; supplier evaluation language set; triangular fuzzy complementary judgment matrix; triangular fuzzy number research; Accuracy; Analytic hierarchy process; Companies; Economics; Indexes; Mathematical model; Production; Closeness Degree; Triangular Fuzzy Complementary Judgment Matrix; Triangular Fuzzy Number; the Weight;
Conference_Titel :
Computational Intelligence and Design (ISCID), 2014 Seventh International Symposium on
Print_ISBN :
978-1-4799-7004-9
DOI :
10.1109/ISCID.2014.227