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Determination of individuals’ life satisfaction levels living in Turkey by FMCDM methods
Kybernetes 2019 Cilt 48 Sayı 8
Scopus Eşleşmesi Bulundu
13
Atıf
48
Cilt
1871-1893
Sayfa
Özet
Purpose: This study aims to determine the ranking of the 81 provinces at the NUTS-3 level in Turkey with respect to the personal satisfaction and public services satisfaction by applying Fuzzy Multi-Criteria Decision-Making methods to the Life Satisfaction Survey Results. Design/methodology/approach: Fuzzy TOPSIS, Fuzzy MULTIMOORA and Fuzzy ARAS are implemented to assess life satisfaction of the individuals who lived in provinces, based on Life Satisfaction Survey 2013 for Turkey’s national comparison. In the solution process, 14 indicators for personal satisfaction and 38 indicators for public services satisfaction were considered. Findings: The results showed that personal health satisfaction, earnings from work satisfaction and monthly income satisfaction are the most important criteria in terms of personal satisfaction. Also, healthcare services satisfaction, judicial services satisfaction and education services satisfaction have the highest importance in terms of public services satisfaction. The final ranking of the 81 provinces is obtained by considered methods. According to the ranking results, there is no significant difference between the east and the west part of Turkey in terms of personal satisfaction, whereas there is a distinct difference between them in terms of satisfaction with public services. Originality/value: This study is the first research for evaluating the ranking of the provinces at the NUTS-3 level in Turkey according to the Life Satisfaction Survey 2013 results considering 14 indicators for personal satisfaction and 38 indicators for public services satisfaction by using FMCDM approaches that have not been applied before.
Web of Science Eşleşmesi Bulundu
8
WoS Atıf
48
Cilt
Article
Belge Türü
Kaynak: KYBERNETES · s. 1871-1893
Anahtar Kelimeler (WoS)

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Scimago Dergi Bilgisi Otomatik ISSN Eşleştirmesi 2019 yılı verileri
Kybernetes
Q1
SJR Quartile
0,376
SJR Skoru
59
H-Index
Kategoriler: Engineering (miscellaneous) (Q1) · Computer Science (miscellaneous) (Q2) · Control and Systems Engineering (Q2) · Electrical and Electronic Engineering (Q2) · Social Sciences (miscellaneous) (Q2) · Artificial Intelligence (Q3) · Information Systems (Q3) · Software (Q3) · Theoretical Computer Science (Q3)
Alanlar: Computer Science · Engineering · Mathematics · Social Sciences
Ülke: United Kingdom · Emerald Publishing
Bu bilgiler makale yılına göre Scimago veritabanından ISSN eşleştirmesiyle otomatik getirilmektedir. Dergi sıralama verileri Scimago'nun ilgili yılı baz alınmaktadır.

Anahtar Kelimeler

Makale Bilgileri

Dergi Kybernetes
ISSN 0368-492X
Yıl 2019 / 9. ay
Cilt / Sayı 48 / 8
Sayfalar 1871 – 1893
Makale Türü Özgün Makale
Hakemlik Hakemli
Endeks SCI-Expanded
Teşvik Puanı 7,20 · YÖKSİS Akademik Teşvik
Yayın Dili İngilizce
Kapsam Uluslararası
Toplam Yazar 2 kişi
Erişim Türü Elektronik
Alan Fen Bilimleri ve Matematik Temel Alanı- İstatistik

YÖKSİS Yazar Kaydı

Yazar Adı YAPICI PEHLİVAN NİMET,GÜRSOY ZEYNEP
YÖKSİS ID 3806577

Metrikler

Scopus Atıf 13
Havuz Atıfları 0
Teşvik Puanı 7,20
Yazar Sayısı 2