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Granular Computing
Erschienen in: Granular Computing 3/2017

19.04.2017 | Original Paper

GIFIHIA operator and its application to the selection of cold chain logistics enterprises

verfasst von: Shanshan Meng, Nan Liu, Yingdong He

Erschienen in: Granular Computing | Ausgabe 3/2017

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Abstract

In this paper, we present some induced hybrid interaction averaging operators under intuitionistic fuzzy environments, including the induced hybrid interaction averaging operator and the generalized induced hybrid interaction averaging operator under intuitionistic fuzzy environments. The properties of these operators are investigated. The main advantages of these operators are that, (1) the interactions of different intuitionistic fuzzy values are taken into consideration, (2) the involved intuitionistic fuzzy values are reordered according to the induced values and then are aggregated into a collective one, (3) the attitudes of decision makers are considered by taking different values of parameter according to decision makers’ preferences. We make comparisons between the results of this paper and the exsiting ones and apply the proposed operators to the selection of cold chain logistics enterprises under intuitionistic fuzzy environment. We also construct the intuitionistic fuzzy values with granularity and show the feasibility of the new approach with numerical examples.
Vorheriger Artikel Type-2 fuzzy linear systems
Nächster Artikel Unified Granular-number-based AHP-VIKOR multi-criteria decision framework

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Metadaten
Titel
GIFIHIA operator and its application to the selection of cold chain logistics enterprises
verfasst von
Shanshan Meng
Nan Liu
Yingdong He
Publikationsdatum
19.04.2017
Verlag
Springer International Publishing
Erschienen in
Granular Computing / Ausgabe 3/2017
Print ISSN: 2364-4966
Elektronische ISSN: 2364-4974
DOI
https://doi.org/10.1007/s41066-017-0038-5

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