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Soft Computing
Erschienen in: Soft Computing 9/2017

07.12.2015 | Methodologies and Application

A direct projection-based group decision-making methodology with crisp values and interval data

verfasst von: Zhongliang Yue, Yuying Jia

Erschienen in: Soft Computing | Ausgabe 9/2017

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Abstract

This paper presents a methodology for group decision-making problems based on a new normalized projection measure, in which the attribute values are provided by decision makers in hybrid form with crisp values and interval data. According to the idea of the technique for order preference by similarity to ideal solution, the separations between each alternative decision and its ideal decisions are established based on the normalized projection measurement. There are no aggregation and transformation between crisp values and interval data in this model. The alternatives are ranked directly based on their relative closeness. An experimental analysis is given to illustrate the feasibility and practicability of introduced method.
Vorheriger Artikel On randomization of neural networks as a form of post-learning strategy
Nächster Artikel Ensemble of many-objective evolutionary algorithms for many-objective problems

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Metadaten
Titel
A direct projection-based group decision-making methodology with crisp values and interval data
verfasst von
Zhongliang Yue
Yuying Jia
Publikationsdatum
07.12.2015
Verlag
Springer Berlin Heidelberg
Erschienen in
Soft Computing / Ausgabe 9/2017
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-015-1953-5

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