Title :
The study for electric power equipment supplier evaluation based on rough set and fuzzy grey incidence cluster analysis
Author_Institution :
Bus. Adm. Sch., North China Electr. Power Univ., Beijing, China
Abstract :
Supplier evaluation is a precondition to choose good electric power suppliers, based on analyzing existing evaluation methods of suppliers, this paper establishes evaluation index system of suppliers integrative strength, puts forward a integrative evaluation model based on integrating rough set with fuzzy grey incidence cluster analysis, makes the results of the evaluation more objective, scientific and precise. Finally, we illustrate the application in choosing electric power suppliers by an example.
Keywords :
fuzzy set theory; grey systems; power apparatus; rough set theory; electric power equipment supplier evaluation; evaluation index system; fuzzy grey incidence cluster analysis; integrative evaluation model; rough set analysis; supplier evaluation; Business; Educational institutions; Indexes; Mathematical model; Power systems; Set theory; electric power equipment; fuzzy mathematics; grey incidence Cluster analysis; index system; rough set; supplier evaluation;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2011 International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4244-8162-0
DOI :
10.1109/ICECENG.2011.6057065