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Intelligent and Fuzzy Techniques in Big Data Analytics and Decision MakingEvaluation of Social Sustainable Development Factors Using Buckley’s Fuzzy AHP Based on Z-Numbers

Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making: Evaluation of Social... [Analytical Hierarchy Process (AHP) has been extended by several extensions of ordinary fuzzy sets such as type-2 fuzzy sets, intuitionistic fuzzy sets, hesitant fuzzy sets, Pythagorean fuzzy sets, and neutrosophic sets. One of the first ordinary fuzzy AHP models is Buckley’s fuzzy AHP. A Z-fuzzy number is a combined expression of a restriction function (RF) and a reliability function of RF. We propose a Z-number based fuzzy AHP. We also present an illustrative example.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Intelligent and Fuzzy Techniques in Big Data Analytics and Decision MakingEvaluation of Social Sustainable Development Factors Using Buckley’s Fuzzy AHP Based on Z-Numbers

Part of the Advances in Intelligent Systems and Computing Book Series (volume 1029)
Editors: Kahraman, Cengiz; Cebi, Selcuk; Cevik Onar, Sezi; Oztaysi, Basar; Tolga, A. Cagri; Sari, Irem Ucal

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References (27)

Publisher
Springer International Publishing
Copyright
© Springer Nature Switzerland AG 2020
ISBN
978-3-030-23755-4
Pages
770–778
DOI
10.1007/978-3-030-23756-1_92
Publisher site
See Chapter on Publisher Site

Abstract

[Analytical Hierarchy Process (AHP) has been extended by several extensions of ordinary fuzzy sets such as type-2 fuzzy sets, intuitionistic fuzzy sets, hesitant fuzzy sets, Pythagorean fuzzy sets, and neutrosophic sets. One of the first ordinary fuzzy AHP models is Buckley’s fuzzy AHP. A Z-fuzzy number is a combined expression of a restriction function (RF) and a reliability function of RF. We propose a Z-number based fuzzy AHP. We also present an illustrative example.]

Published: Jul 6, 2019

Keywords: AHP; Fuzzy sets; Z-fuzzy number

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