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Neural Computing and Applications
Erschienen in: Neural Computing and Applications 2/2019

11.07.2017 | Original Article

A consensus model for group decision making under trapezoidal fuzzy numbers environment

verfasst von: Peng Wu, Qun Wu, Ligang Zhou, Huayou Chen, Han Zhou

Erschienen in: Neural Computing and Applications | Ausgabe 2/2019

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Abstract

Natural linguistic terms can preferably express the opinions of decision makers in complicated decision environment. Group decision making with multiplicative trapezoidal fuzzy preference relations transforming from natural linguistic terms attracts the attention of researchers for its important research significant. The developed approach is based on consensus improving process by using a new similarity measure and a trapezoidal fuzzy power ordered weighted geometric averaging (TFPOWGA) operator. In order to introduce this approach, firstly, trapezoidal fuzzy power geometric averaging operator and TFPOWGA operator are presented to aggregate trapezoidal fuzzy numbers (TFNs). Secondly, a new similarity measure for TFNs is introduced by combining centroids and areas of TFNs. We further propose a new consensus improving algorithm that consists of consensus measure and a dynamic feedback mechanism containing a multi-objective optimization model and some indirect rules. And then a selection stage is described to rank the alternatives. At last, an example is implemented to demonstrate effectiveness of the approach.
Vorheriger Artikel Automatic detection of electrocardiographic arrhythmias by parallel continuous neural networks implemented in FPGA
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Metadaten
Titel
A consensus model for group decision making under trapezoidal fuzzy numbers environment
verfasst von
Peng Wu
Qun Wu
Ligang Zhou
Huayou Chen
Han Zhou
Publikationsdatum
11.07.2017
Verlag
Springer London
Erschienen in
Neural Computing and Applications / Ausgabe 2/2019
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-017-3055-z

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