Title :
Unstructured Decision-Making Model Base on Grey Fuzzy Number
Author :
Zhang, Xin Bo ; Lu, Ying
Author_Institution :
Coll. of Inf. & Electron. Eng., Zhejiang Gongshang Univ., Hangzhou, China
Abstract :
Experts use natural language in the unstructured decision-making problems, when they are establishing weights by pairwise comparison. In this paper, attribute hierarchical model (AHM) is utilized to establish weights. And grey fuzzy number is introduced, which can fully express experts¿ will and make experts¿ scoring more scientific. Then a new grey fuzzy unstructured decision-making model is proposed. Finally, the example shows that this model is simple and efficient.
Keywords :
decision making; fuzzy set theory; grey systems; natural languages; attribute hierarchical model; grey fuzzy number; natural language; unstructured decision-making model; Computational intelligence; Decision making; Educational institutions; Fuzzy sets; Information security; Natural languages;
Conference_Titel :
Computational Intelligence and Security, 2008. CIS '08. International Conference on
Conference_Location :
Suzhou
Print_ISBN :
978-0-7695-3508-1
DOI :
10.1109/CIS.2008.107
