Balanced scorecard-based cost analysis of service industry using a novel hybrid decision making approach based on golden cut-oriented bipolar and q-ROF sets

Basit Öğe Kaydı
dc.authorid0000-0002-3390-4597
dc.authorid0000-0002-9858-1266
dc.authorid0000-0002-8072-031X
dc.contributor.authorGökalp, Yaşar
dc.contributor.authorYüksel, Serhat
dc.contributor.authorDinçer, Hasan
dc.date.accessioned2022-09-15T11:57:50Z
dc.date.available2022-09-15T11:57:50Z
dc.date.issued2022
dc.departmentİstanbul Medipol Üniversitesi, Sağlık Bilimleri Fakültesi, Sağlık Yönetimi Bölümü
dc.departmentİstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Uluslararası Ticaret ve Finansman Bölümü
dc.description.abstractThis study aims to create a strategy for reducing energy costs in hospitals to ensure the sustainability of health services. In this framework, a novel hybrid decision making approach is generated based on golden cut-oriented bipolar and q-rung orthopair fuzzy sets (q-ROFs). Firstly, balanced scorecard (BSC)-based criteria are evaluated by using multi stepwise weight assessment ratio analysis (M-SWARA) approach. Secondly, alternatives are examined with the help of technique for order preference by similarity to ideal solution (TOPSIS) technique. The novelty of this study is to find critical factors that affect the energy costs of health institutions with an original fuzzy decision-making model. This proposed model has also some superiorities by comparing with previous models in the literature. First, SWARA method is improved, and this technique is generated with the name of M-SWARA. Hence, the relationship between the criteria can be examined owing to this issue. Additionally, golden cut is taken into consideration to compute the degrees in bipolar q-ROFSs to achieve more accurate results. These two issues have an important impact on the originality of the proposed model. The findings demonstrate that consciousness level of employees has the highest weight with respect to the energy costs in hospitals. Additionally, the type of energy used also plays a significant role for this issue. Thus, renewable energy sources should be considered in meeting the energy needs of hospitals. Although the installation costs of these energy types are higher, it will be possible to significantly reduce energy costs in the long run.
dc.identifier.citationGökalp, Y., Yüksel, S. ve Dinçer, H. (2022). Balanced scorecard-based cost analysis of service industry using a novel hybrid decision making approach based on golden cut-oriented bipolar and q-ROF sets. Journal of Intelligent and Fuzzy Systems, 43(4), 4709-4722. https://doi.org/10.3233/JIFS-220126
dc.identifier.doi10.3233/JIFS-220126
dc.identifier.endpage4722
dc.identifier.issn1064-1246
dc.identifier.issn1875-8967
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85136791888
dc.identifier.scopusqualityQ2
dc.identifier.startpage4709
dc.identifier.urihttps://doi.org/10.3233/JIFS-220126
dc.identifier.urihttps://hdl.handle.net/20.500.12511/9714
dc.identifier.volume43
dc.identifier.wos000841691300055en_US
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorGökalp, Yaşar
dc.institutionauthorYüksel, Serhat
dc.institutionauthorDinçer, Hasan
dc.language.isoen
dc.publisherIOS Press BV
dc.relation.ispartofJournal of Intelligent and Fuzzy Systemsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectQ-Rung Orthopair Fuzzy Sets
dc.subjectM-SWARA
dc.subjectBipolar Fuzzy Sets
dc.subjectGolden Cut
dc.subjectSWARA
dc.subjectTOPSIS
dc.titleBalanced scorecard-based cost analysis of service industry using a novel hybrid decision making approach based on golden cut-oriented bipolar and q-ROF sets
dc.typeArticle

Dosyalar

Lisans paketi
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
license.txt
Boyut:
1.44 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama:
İndir

Koleksiyon

Makale Koleksiyonu
Makale Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu