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07.09.2018 | Methodologies and Application

Development of intuitionistic fuzzy data envelopment analysis models and intuitionistic fuzzy input–output targets

verfasst von: Alka Arya, Shiv Prasad Yadav

Erschienen in: Soft Computing | Ausgabe 18/2019

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Abstract

In this paper, we develop intuitionistic fuzzy data envelopment analysis (IFDEA) and dual IFDEA (DIFDEA) models based on \(\alpha \)- and \(\beta \)-cuts. We determine intuitionistic fuzzy (IF) efficiencies based on \(\alpha \)- and \(\beta \)-cuts. We develop an IF correlation coefficient (IFCC) between IF variables to validate the DIFDEA models. We propose an index ranking approach to rank the decision making units (DMUs). Also, we propose an approach to find the IF input–output targets which help to make inefficient DMUs as efficient DMUs in IF environment. Finally, an example and a health sector application are presented to illustrate and compare the proposed methods.

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Titel: Development of intuitionistic fuzzy data envelopment analysis models and intuitionistic fuzzy input–output targets
verfasst von: Alka Arya
Shiv Prasad Yadav
Publikationsdatum: 07.09.2018
Verlag: Springer Berlin Heidelberg
Erschienen in: Soft Computing / Ausgabe 18/2019
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI: https://doi.org/10.1007/s00500-018-3504-3

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