Název: An intuitionistic fuzzy data envelopment analysis for efficiency evaluation under ucertainty: case of a finance and credit institution
Autoři: Hajiagha, Seyed Hossein Razavi
Akrami, Hadi
Kazimieras Zavadskas, Edmundas
Hashemi, Shide Sadat
Citace zdrojového dokumentu: E+M. Ekonomie a Management = Economics and Management. 2013, č. 1, s. 128-137.
Datum vydání: 2013
Nakladatel: Technická univerzita v Liberci
Typ dokumentu: článek
article
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
http://hdl.handle.net/11025/17491
ISSN: 1212-3609 (Print)
2336-5604 (Online)
Klíčová slova: hodnocení výkonu;analýza obalu dat;model BCC;intuicionistické fuzzy množiny;operátor agregace
Klíčová slova v dalším jazyce: performance evaluation;data envelopment analysis;BCC model;intuitionistic fuzzy sets;aggregation operator
Abstrakt v dalším jazyce: 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.
Práva: © Technická univerzita v Liberci
CC BY-NC 4.0
Vyskytuje se v kolekcích:Číslo 1 (2013)
Číslo 1 (2013)



Použijte tento identifikátor k citaci nebo jako odkaz na tento záznam: http://hdl.handle.net/11025/17491

Všechny záznamy v DSpace jsou chráněny autorskými právy, všechna práva vyhrazena.