Performance measurement of process based enterprise applications using incomplete interval-valued intuitionistic preference relations: The case of call centers

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

1 Atıf (Scopus)

Özet

Performance Measurement (PM) can be defined as a combination of numerically expressed characteristics of a company’s, a team’s or an activity’s which give insight about the success or degree of accomplishment of the goals. The aim of performance measurement of process based enterprise applications is to provide an objective measurement which can be later used for promotions or rewards. In this paper, incomplete interval-valued intuitionistic preference relations are used to determine the weights of the key performance indicators (KPI) which are used aggregate and determine the final performance values.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıUncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016
EditörlerJie Lu, Ludovic Koehl, Etienne E. Kerre, Luis Martinez, Xianyi Zeng
YayınlayanWorld Scientific Publishing Co. Pte Ltd
Sayfalar851-856
Sayfa sayısı6
ISBN (Elektronik)9789813146969
DOI'lar
Yayın durumuYayınlandı - 2016
EtkinlikUncertainty Modelling in Knowledge Engineering and Decision Making - 12th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2016 - Roubaix, France
Süre: 24 Ağu 201626 Ağu 2016

Yayın serisi

AdıUncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016

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???event.eventtypes.event.conference???Uncertainty Modelling in Knowledge Engineering and Decision Making - 12th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2016
Ülke/BölgeFrance
ŞehirRoubaix
Periyot24/08/1626/08/16

Bibliyografik not

Publisher Copyright:
© 2016 by World Scientific Publishing Co. Pte. Ltd.

Finansman

* This work is supported by Scientific and Technological Research Council of Turkey (TÜBİTAK), TEYDEB 1501, Grant No: 3140521.

FinansörlerFinansör numarası
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu3140521

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