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

GIFIHIA operator and its application to the selection of cold chain logistics enterprises 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Granular Computing Springer Journals

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

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Publisher
Springer International Publishing
Copyright
Copyright © 2017 by Springer International Publishing Switzerland
Subject
Engineering; Computational Intelligence; Artificial Intelligence (incl. Robotics)
ISSN
2364-4966
eISSN
2364-4974
D.O.I.
10.1007/s41066-017-0038-5
Publisher site
See Article on Publisher Site

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.

Journal

Granular ComputingSpringer Journals

Published: Apr 19, 2017

References

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