The analysis of bank business performance and market risk—Applying Fuzzy DEA

Chen, Yu-Chuan; Chiu, Yung‐ho; Huang, Chin-Wei; Tu, Chien Heng

doi:10.1016/j.econmod.2013.02.008

Cited by 61 publications

(34 citation statements)

References 54 publications

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“…This being the case, several researchers (Cooper et al, 1999;Despotis and Smirlis, 2002;Guo and Tanaka, 2001;Jahanshahloo et al, 2004;Kao and Liu, 2000b) started structuring FDEA models, allowing for the measurement of outputs and inputs as fuzzy numbers. Particularly with respect to FDEA applications on banking, studies to assess efficiency in the financial sector still remain scarce, and their major focus tends to relate to ranking of DMUs based on computed fuzzy efficiencies rather than predicting or explaining efficiency levels in terms of contextual variables (Chen et al, 2013;Puri & Yadav, 2014;Puri & Yadav, 2013;Wang et al, 2014;Hsiao et al, 2011;Wu et al, 2006). According to Hatami-Marbini et al (2011a), the huge dissemination of different models within a large scope of applications in terms of efficiency measurement demonstrates that FDEA models represent an effective path for handling uncertainty and vagueness when inputs/outputs are imprecise (Kao & Liu, 2000b).…”

Section: Review Of the Literaturementioning

confidence: 99%

“…First, when using this approach, fuzzy inputs and outputs may be expressed as crisp numbers representing the limiting bounds of the intervals for different α-levels (Chen et al, 2013), thus allowing the uncertainty of the data collected from Mozambican banks to be easily modelled as triangular fuzzy numbers. Second, in the situation of various α levels for the inputs and the outputs, FDEA may be translated into traditional DEA (crisp) models in light of the Extension Principle, thus making solving their respective linear programs simpler (Yager, 1981;Zadeh, 1965a;Zimmerman, 1976).…”

Section: Fuzzy Deamentioning

confidence: 99%

“…Thus far, applications of FDEA to measure bank efficiency have been scarce and focused on ranking DMUs rather than predicting their efficiency levels based on a set of contextual variables (Chen et al, 2013;Puri & Yadav, 2014;Puri & Yadav, 2013;Wang, Lu & Liu, 2014;Hsiao et al, 2011;Wu, Yang, & Liang, 2006). This paper innovates first by focusing on Mozambican banks and second by simultaneously adopting three major FDEA models based on the α-level approach in combination with the conditional bootstrapped truncated regression, proposed…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Assessing productive efficiency of banks using integrated Fuzzy-DEA and bootstrapping: A case of Mozambican banks

Wänke

Barros²,

Emrouznejad

2016

European Journal of Operational Research

134

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Section: Review Of the Literaturementioning

confidence: 99%

Section: Fuzzy Deamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Assessing productive efficiency of banks using integrated Fuzzy-DEA and bootstrapping: A case of Mozambican banks

Wänke

Barros²,

Emrouznejad

2016

European Journal of Operational Research

134

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“…Bununla birlikte, diğer sektörlerde BVZA yardımıyla etkinlik ölçümü gerçekleştirilen birçok çalışma mevcuttur. Bu çalışmalara örnek olarak bankaların [26,27], akıllı güç sistemlerinin [28], hastanelerin [29], konteyner limanlarının [30], esnek üretim sistemlerinin [31], ileri teknoloji projelerinin [32], enerji üretim projelerinin [33], tedarikçi alternatiflerinin [34], otellerin [35], üniversite kütüphanelerinin [36] ve mamul tasarımı planlarının [37] etkinliklerinin ölçüldüğü çalışmalar verilebilir.…”

Section: Gi̇ri̇ş (Introduction)unclassified

Bulanık Veri Zarflama Analizi İle Çaykur Fabrikalarında Etkinlik Ölçümü

Cakir¹

2016

Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi

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ÖZETTürkiye dünyanın en büyük beşinci çay üreticisi olmasına karşın dünya çay ihracat hacmindeki payı ihmal edilebilir derecede düşüktür. Ayrıca, Türkiye'de kuru çay birim üretim maliyeti diğer üretici ülkelerin birim maliyetlerinden çok daha yüksektir. Türk çay endüstrisinin en önemli aktörü konumundaki ÇAYKUR'un özel sektör firmalarıyla ve diğer ülke üreticileriyle rekabetinde avantaj sağlaması kaynaklarını etkin kullanmasına bağlıdır. Bulanık Veri Zarflama Analizi (BVZA) modelleri karar birimlerinin etkinlik düzeylerini bulanık ortamda ölçmek amacıyla kullanılan son derece yararlı araçlardır. Bu çalışmada ÇAYKUR'a bağlı 20 yaş çay işleme fabrikasında 2013 yılı verilerine göre etkinlik ölçümü gerçekleştirilmiştir. Lertworasirikul vd. tarafından geliştirilen BVZA modelinin kullanıldığı uygulamada fabrikalar için beş farklı α-kesim düzeyinde etkinlik skorları hesaplanmıştır. Sonraki aşamada, fabrikaları performanslarına göre sıralamak amacıyla Chen ve Klein tarafından literatüre kazandırılan bulanık sıralama yaklaşımından yararlanılarak her bir fabrika için bütünleşik tek bir etkinlik skoru hesaplanmıştır. Çalışmanın yönetsel açıdan sektördeki karar vericilere yararlı bilgiler sunduğu düşünülmektedir. Ayrıca, bu çalışma dünya çay sektöründe BVZA modeliyle etkinlik ölçümü yapılan ilk çalışmalardan biri niteliğindedir.Anahtar Kelimeler: ÇAYKUR, etkinlik, bulanık veri zarflama analizi EFFICIENCY MEASUREMENT IN CAYKUR FACTORIES WITH FUZZY DATA ENVELOPMENT ANALYSIS ABSTRACTEven though Turkey is the world's fifth largest tea-producer country, its share in the world tea export volume is as low as negligible. In addition, unit tea-production costs in Turkey are much higher than those of other teaproducing countries. In order for ÇAYKUR, the most important player of Turkish tea industry, to gain competitive advantage against the competitors in the private sector and other countries' manufacturers depends on using its resources efficiently. Fuzzy Data Envelopment Analysis (FDEA) models are very fruitful tools for measuring efficiency levels of decision-making units in fuzzy environment. In this study, efficiency measurement was performed in 20 tea factories of ÇAYKUR for the year 2013. In the application, the FDEA model developed by Lertworasirikul et al. was conducted and the efficiency scores were computed for five α-cut levels. Then, an integrated single efficiency score were calculated for each tea plant via Chen and Klein's fuzzy ranking approach so as to rank the plants with regards to the performance. It is hoped that this study presents useful information to the decison-makers of the tea industry. Furthermore, this paper is one of the first attempt to measure efficiency with FDEA models in the world tea industry.

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“…Puri and Yadav (2013b) proposed another fuzzy DEA model with undesirable fuzzy outputs to calculate the efficiency scores. Chen et al (2013) applied the Fuzzy Slack-Based Measurement model in the Taiwan banking sector under market risk .…”

Section: Introductionmentioning

confidence: 99%