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

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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.

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Acknowledgments

The authors are very grateful to the Managing Editor, Dr. Aniello Castiglione, and the anonymous reviewers for their insightful and constructive comments and suggestions that have led to an improved version of this paper.

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Authors and Affiliations

  1. College of Science, Guangdong Ocean University, Zhanjiang, 524088, China

    Zhongliang Yue

  2. Library, Guangdong Ocean University, Zhanjiang, 524088, China

    Yuying Jia

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  1. Zhongliang Yue
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  2. Yuying Jia
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Correspondence to Zhongliang Yue.

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Communicated by V. Loia.

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Yue, Z., Jia, Y. A direct projection-based group decision-making methodology with crisp values and interval data. Soft Comput 21, 2395–2405 (2017). https://doi.org/10.1007/s00500-015-1953-5

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  • DOI: https://doi.org/10.1007/s00500-015-1953-5

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