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Neural Computing and Applications
Erschienen in: Neural Computing and Applications 11/2018

24.10.2016 | Original Article

Geometric Bonferroni means of interval-valued intuitionistic fuzzy numbers and their application to multiple attribute group decision making

verfasst von: Zhiming Zhang

Erschienen in: Neural Computing and Applications | Ausgabe 11/2018

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Abstract

The aim of the paper was to propose the interval-valued intuitionistic fuzzy geometric Bonferroni mean and the weighted interval-valued intuitionistic fuzzy geometric Bonferroni mean for aggregating interval-valued intuitionistic fuzzy sets, taking into account the interrelationship between interval-valued intuitionistic fuzzy arguments. Then, some useful properties and special cases of the developed operators are investigated. Furthermore, the developed operators are used to put forward an approach for multiple attribute group decision making with interval-valued intuitionistic fuzzy information. Finally, an illustrative example is furnished to show the feasibility and practicality of the developed approach.
Vorheriger Artikel F-Ant: an effective routing protocol for ant colony optimization based on fuzzy logic in vehicular ad hoc networks
Nächster Artikel Scheduling jobs with simultaneous considerations of controllable processing times and learning effect

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Metadaten
Titel
Geometric Bonferroni means of interval-valued intuitionistic fuzzy numbers and their application to multiple attribute group decision making
verfasst von
Zhiming Zhang
Publikationsdatum
24.10.2016
Verlag
Springer London
Erschienen in
Neural Computing and Applications / Ausgabe 11/2018
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-016-2621-0

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