Performance comparisons of law offices and optimum allocation of debt files using Z-fuzzy AHP

Cengiz Kahraman; Basar Oztaysi; Sezi Cevik Onar

Performance comparisons of law offices and optimum allocation of debt files using Z-fuzzy AHP

Cengiz Kahraman, Basar Oztaysi, Sezi Cevik Onar

Endüstri Mühendisliği Bölümü

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

7 Atıf (Scopus)

Özet

The performance of law offices can be comparatively measured by multicriteria decision making methods. Linguistic assessments can be used in this process rather than exact numerical evaluations. The performance evaluation is generally realized in a vague and imprecise environment. Fuzzy set theory is often very beneficial for evaluating the subjective judgments of decision makers. The Analytic Hierarchy Process is the most used multi-criteria decision making method in the world because of its simplicity and efficiency. A Z-fuzzy number is a relatively new concept in fuzzy set theory that enables one to circumvent the limitations of ordinary fuzzy numbers. They give a better representation than ordinary fuzzy numbers. We use a Z-fuzzy AHP to compare the performances of law offices and allocate the debt files according to their performances.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2019
Editörler	Vilem Novak, Vladimir Marik, Martin Stepnicka, Mirko Navara, Petr Hurtik
Yayınlayan	Atlantis Press
Sayfalar	446-451
Sayfa sayısı	6
ISBN (Elektronik)	9789462527706
Yayın durumu	Yayınlandı - 2020
Etkinlik	11th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2019 - Prague, Czech Republic Süre: 9 Eyl 2019 → 13 Eyl 2019

Yayın serisi

Adı	Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2019

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	11th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2019
Ülke/Bölge	Czech Republic
Şehir	Prague
Periyot	9/09/19 → 13/09/19

Bibliyografik not

Publisher Copyright:
Copyright © 2019, the Authors. Published by Atlantis Press. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Kahraman, C., Oztaysi, B., & Onar, S. C. (2020). Performance comparisons of law offices and optimum allocation of debt files using Z-fuzzy AHP. In V. Novak, V. Marik, M. Stepnicka, M. Navara, & P. Hurtik (Eds.), Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2019 (pp. 446-451). (Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2019). Atlantis Press.

Kahraman, Cengiz ; Oztaysi, Basar ; Onar, Sezi Cevik. / Performance comparisons of law offices and optimum allocation of debt files using Z-fuzzy AHP. Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2019. editör / Vilem Novak ; Vladimir Marik ; Martin Stepnicka ; Mirko Navara ; Petr Hurtik. Atlantis Press, 2020. pp. 446-451 (Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2019).

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title = "Performance comparisons of law offices and optimum allocation of debt files using Z-fuzzy AHP",

abstract = "The performance of law offices can be comparatively measured by multicriteria decision making methods. Linguistic assessments can be used in this process rather than exact numerical evaluations. The performance evaluation is generally realized in a vague and imprecise environment. Fuzzy set theory is often very beneficial for evaluating the subjective judgments of decision makers. The Analytic Hierarchy Process is the most used multi-criteria decision making method in the world because of its simplicity and efficiency. A Z-fuzzy number is a relatively new concept in fuzzy set theory that enables one to circumvent the limitations of ordinary fuzzy numbers. They give a better representation than ordinary fuzzy numbers. We use a Z-fuzzy AHP to compare the performances of law offices and allocate the debt files according to their performances.",

keywords = "AHP, Allocation, Fuzzy MCDM, Law offices, Z-fuzzy number",

author = "Cengiz Kahraman and Basar Oztaysi and Onar, {Sezi Cevik}",

note = "Publisher Copyright: Copyright {\textcopyright} 2019, the Authors. Published by Atlantis Press. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).; 11th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2019 ; Conference date: 09-09-2019 Through 13-09-2019",

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Kahraman, C , Oztaysi, B & Onar, SC 2020, Performance comparisons of law offices and optimum allocation of debt files using Z-fuzzy AHP. in V Novak, V Marik, M Stepnicka, M Navara & P Hurtik (eds), Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2019. Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2019, Atlantis Press, pp. 446-451, 11th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2019, Prague, Czech Republic, 9/09/19.

Performance comparisons of law offices and optimum allocation of debt files using Z-fuzzy AHP. / Kahraman, Cengiz ; Oztaysi, Basar ; Onar, Sezi Cevik.
Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2019. ed. / Vilem Novak; Vladimir Marik; Martin Stepnicka; Mirko Navara; Petr Hurtik. Atlantis Press, 2020. p. 446-451 (Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2019).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Performance comparisons of law offices and optimum allocation of debt files using Z-fuzzy AHP

AU - Kahraman, Cengiz

AU - Oztaysi, Basar

AU - Onar, Sezi Cevik

PY - 2020

Y1 - 2020

N2 - The performance of law offices can be comparatively measured by multicriteria decision making methods. Linguistic assessments can be used in this process rather than exact numerical evaluations. The performance evaluation is generally realized in a vague and imprecise environment. Fuzzy set theory is often very beneficial for evaluating the subjective judgments of decision makers. The Analytic Hierarchy Process is the most used multi-criteria decision making method in the world because of its simplicity and efficiency. A Z-fuzzy number is a relatively new concept in fuzzy set theory that enables one to circumvent the limitations of ordinary fuzzy numbers. They give a better representation than ordinary fuzzy numbers. We use a Z-fuzzy AHP to compare the performances of law offices and allocate the debt files according to their performances.

AB - The performance of law offices can be comparatively measured by multicriteria decision making methods. Linguistic assessments can be used in this process rather than exact numerical evaluations. The performance evaluation is generally realized in a vague and imprecise environment. Fuzzy set theory is often very beneficial for evaluating the subjective judgments of decision makers. The Analytic Hierarchy Process is the most used multi-criteria decision making method in the world because of its simplicity and efficiency. A Z-fuzzy number is a relatively new concept in fuzzy set theory that enables one to circumvent the limitations of ordinary fuzzy numbers. They give a better representation than ordinary fuzzy numbers. We use a Z-fuzzy AHP to compare the performances of law offices and allocate the debt files according to their performances.

KW - AHP

KW - Allocation

KW - Fuzzy MCDM

KW - Law offices

KW - Z-fuzzy number

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M3 - Conference contribution

AN - SCOPUS:85090875758

T3 - Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2019

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EP - 451

BT - Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2019

A2 - Novak, Vilem

A2 - Marik, Vladimir

A2 - Stepnicka, Martin

A2 - Navara, Mirko

A2 - Hurtik, Petr

PB - Atlantis Press

T2 - 11th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2019

Y2 - 9 September 2019 through 13 September 2019

ER -

Kahraman C , Oztaysi B , Onar SC. Performance comparisons of law offices and optimum allocation of debt files using Z-fuzzy AHP. In Novak V, Marik V, Stepnicka M, Navara M, Hurtik P, editörler, Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2019. Atlantis Press. 2020. p. 446-451. (Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2019).

Performance comparisons of law offices and optimum allocation of debt files using Z-fuzzy AHP

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