A direct projection-based group decision-making methodology with crisp values and interval data
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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.
KeywordsGroup decision-making Hybrid information Interval data Projection measurement Partner selection
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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Conflict of interest
The authors declare that they have no conflict of interest.
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