Weighting performance indicators of debt collection offices by using hesitant fuzzy AHP

Basar Oztaysi*, Mustafa Yücel, Sezi Cevik Onar, Ersan Öztürk, Cengiz Kahraman

*Bu çalışma için yazışmadan sorumlu yazar

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2 Atıf (Scopus)

Özet

Performance measurement (PM) is defined as the process of collecting, analyzing and/or reporting information regarding the performance of individuals, teams or the whole organization. The first and one of the most important steps in performance measurement is determining the performance indicators and their weights. In this study, we focus on performance measurement of law offices, which deal with follow-up of unpaid bills. We propose a decision model for weighting the performance indicators using interval valued intuitionistic fuzzy AHP.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıIntelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference
EditörlerCengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A.Cagri Tolga
YayınlayanSpringer Verlag
Sayfalar1017-1024
Sayfa sayısı8
ISBN (Basılı)9783030237554
DOI'lar
Yayın durumuYayınlandı - 2020
EtkinlikInternational Conference on Intelligent and Fuzzy Systems, INFUS 2019 - Istanbul, Turkey
Süre: 23 Tem 201925 Tem 2019

Yayın serisi

AdıAdvances in Intelligent Systems and Computing
Hacim1029
ISSN (Basılı)2194-5357
ISSN (Elektronik)2194-5365

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???event.eventtypes.event.conference???International Conference on Intelligent and Fuzzy Systems, INFUS 2019
Ülke/BölgeTurkey
ŞehirIstanbul
Periyot23/07/1925/07/19

Bibliyografik not

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Finansman

This work is supported by Scientific and Technological Research Council of Turkey (TÜBİTAK), TEYDEB 1505, Grant No: 5170012.

FinansörlerFinansör numarası
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu5170012

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