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

Department of Industrial Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2019
Editors	Vilem Novak, Vladimir Marik, Martin Stepnicka, Mirko Navara, Petr Hurtik
Publisher	Atlantis Press
Pages	446-451
Number of pages	6
ISBN (Electronic)	9789462527706
Publication status	Published - 2020
Event	11th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2019 - Prague, Czech Republic Duration: 9 Sept 2019 → 13 Sept 2019

Publication series

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

Conference

Conference	11th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2019
Country/Territory	Czech Republic
City	Prague
Period	9/09/19 → 13/09/19

Bibliographical note

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/).

Keywords

AHP
Allocation
Fuzzy MCDM
Law offices
Z-fuzzy number

Cite this

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. editor / 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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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.",

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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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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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.

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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, editors, 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

Abstract

Publication series

Conference

Bibliographical note

Keywords

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Cite this