Performance Comparisons of Law Offices and Optimum Allocation of Debt Files Using Z-Fuzzy AHP

DOI

10.2991/eusflat-19.2019.62How to use a DOI?

Keywords

Law offices fuzzy MCDM Z-fuzzy number AHP Allocation

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.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Cengiz Kahraman
AU  - Basar Oztaysi
AU  - Sezi Cevik Onar
PY  - 2019/08
DA  - 2019/08
TI  - Performance Comparisons of Law Offices and Optimum Allocation of Debt Files Using Z-Fuzzy AHP
BT  - Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019)
PB  - Atlantis Press
SP  - 446
EP  - 451
SN  - 2589-6644
UR  - https://doi.org/10.2991/eusflat-19.2019.62
DO  - 10.2991/eusflat-19.2019.62
ID  - Kahraman2019/08
ER  -