A non-radial directional distance method on classifying inputs and outputs in DEA: Application to banking industry

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F18%3A10236078" target="_blank" >RIV/61989100:27510/18:10236078 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1016/j.eswa.2017.09.034" target="_blank" >https://doi.org/10.1016/j.eswa.2017.09.034</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.eswa.2017.09.034" target="_blank" >10.1016/j.eswa.2017.09.034</a>

Jazyk výsledku

angličtina

Název v původním jazyce

A non-radial directional distance method on classifying inputs and outputs in DEA: Application to banking industry

Popis výsledku v původním jazyce

The original Data Envelopment Analysis (DEA) models have required an assumption that the status of all inputs and outputs be known exactly, whilst we may face a case with some flexible performance measures whose status is unknown. Some classifier approaches have been proposed in order to deal with flexible measures. This contribution develops a new classifier non-radial directional distance method with the aim of taking into account input contraction and output expansion, simultaneously, in the presence of flexible measures. To make the most appropriate decision for flexible measures, we suggest two pessimistic and optimistic approaches from both individual and summative points of view. Finally, a numerical real ex- ample in the banking system in the countries of the Visegrad Four (i.e. Czech Republic, Hungary, Poland, and Slovakia) is presented to elaborate applicability of the proposed method.

Název v anglickém jazyce

A non-radial directional distance method on classifying inputs and outputs in DEA: Application to banking industry

Popis výsledku anglicky

The original Data Envelopment Analysis (DEA) models have required an assumption that the status of all inputs and outputs be known exactly, whilst we may face a case with some flexible performance measures whose status is unknown. Some classifier approaches have been proposed in order to deal with flexible measures. This contribution develops a new classifier non-radial directional distance method with the aim of taking into account input contraction and output expansion, simultaneously, in the presence of flexible measures. To make the most appropriate decision for flexible measures, we suggest two pessimistic and optimistic approaches from both individual and summative points of view. Finally, a numerical real ex- ample in the banking system in the countries of the Visegrad Four (i.e. Czech Republic, Hungary, Poland, and Slovakia) is presented to elaborate applicability of the proposed method.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10102 - Applied mathematics

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Expert Systems with Applications

ISSN

0957-4174

e-ISSN

—

Svazek periodika

92

Číslo periodika v rámci svazku

02/2018

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

12

Strana od-do

495-506

Kód UT WoS článku

000414107100038

EID výsledku v databázi Scopus

2-s2.0-85030707649