An integrated AHP & DEA methodology with neutrosophic sets

Cengiz Kahraman, İrem Otay*, Başar Öztayşi, Sezi Çevik Onar

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

23 Citations (Scopus)

Abstract

As a generalization of intuitionistic fuzzy sets, neutrosophic sets have been developed to represent vague, imprecise, incomplete, and inconsistent information existing in real world. The independent components of a neutrosophic set are truth, indeterminacy, and falsity. In the literature, neutrosophic sets have been employed in the development of new extensions of multiple criteria decision making methods such as neutrosophic TOPSIS and neutrosophic VIKOR. In this chapter, a new Neutrosophic Analytic Hierarchy Process (NAHP) is proposed. Then, neutrosophic AHP is integrated with neutrosophic Data Envelopment Analysis (DEA) for bringing solution to the performance measurement problems. The inputs and outputs of DEA method are weighted by Neutrosophic AHP. The proposed methodology is implemented to solve performance evaluation problem of private universities.

Original languageEnglish
Title of host publicationStudies in Fuzziness and Soft Computing
PublisherSpringer Verlag
Pages623-645
Number of pages23
DOIs
Publication statusPublished - 2019

Publication series

NameStudies in Fuzziness and Soft Computing
Volume369
ISSN (Print)1434-9922

Bibliographical note

Publisher Copyright:
© Springer Nature Switzerland AG 2019.

Keywords

  • AHP
  • DEA
  • Neutrosophic sets
  • Pairwise comparisons
  • Uncertainty

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