Title: An intuitionistic fuzzy data envelopment analysis for efficiency evaluation under ucertainty: case of a finance and credit institution
Authors: Hajiagha, Seyed Hossein Razavi
Akrami, Hadi
Kazimieras Zavadskas, Edmundas
Hashemi, Shide Sadat
Citation: E+M. Ekonomie a Management = Economics and Management. 2013, č. 1, s. 128-137.
Issue Date: 2013
Publisher: Technická univerzita v Liberci
Document type: článek
URI: http://www.ekonomie-management.cz/download/1404721033_25b7/2013_1+An+Intuitionistic+Fuzzy+Data+Envelopment+Analysis+for+Affeciency+Evaluation+Under+Uncertainty+Case+of+a+Finance+and+Credit+Institution.pdf
ISSN: 1212-3609 (Print)
2336-5604 (Online)
Keywords: hodnocení výkonu;analýza obalu dat;model BCC;intuicionistické fuzzy množiny;operátor agregace
Keywords in different language: performance evaluation;data envelopment analysis;BCC model;intuitionistic fuzzy sets;aggregation operator
Abstract in different language: Performance evaluation is a challenging issue for managers. Data envelopment analysis is a non parametric and linear programming based approach to appraise the relative efficiency of a set of congruent units. One of the shortcomings of classic data envelopment model is their crispness of data. In this paper, a data envelopment model is extended in which inputs and outputs are ambiguous and are expressed in the form of intuitionistic fuzzy sets. The proposed method is extended based on a weighted aggregation operator which is defined for intuitionistic fuzzy data. This model applied the advantages of intuitionistic fuzzy data in capturing the uncertainty. The main advantages of the proposed method are its simplicity and consistency with classic models. The proposed method is applied in a real instance and its results are examined.
Rights: © Technická univerzita v Liberci
CC BY-NC 4.0
Appears in Collections:Číslo 1 (2013)
Číslo 1 (2013)

Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/17491

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.