Title :
Fuzzy Expected Value Model for Data Envelopment Analysis
Author :
Meng, Mingqiang ; Yuan, Guoqiang
Author_Institution :
Dept. of Basic Courses, Ordnance Eng. Coll., Shijiazhuang, China
Abstract :
Based on credibility theory, this paper presents a new class of fuzzy expected value model for data envelopment analysis (FEVM-DEA). In some special cases, such as the fuzzy inputs and fuzzy outputs are independent trapezoidal fuzzy variables, we transform the FEVM-DEA to its crisp equivalent class and discuss some basic properties of the proposed FEVM-DEA. Finally, a numerical example is given to illustrate the effectiveness of the proposed FEVM-DEA and the relative efficiency is analyzed.
Keywords :
data envelopment analysis; fuzzy set theory; credibility theory; data envelopment analysis; fuzzy expected value model; trapezoidal fuzzy variables; Books; Data engineering; Data envelopment analysis; Decision making; Educational institutions; Finance; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Knowledge engineering; Credibility theory; Data envelopment analysis; Efficiency analysis; Fuzzy expected value model;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3735-1
DOI :
10.1109/FSKD.2009.655
