Abstract
Multiple criteria decision making (MCDM) has received increasing attentions in both engineering and economic fields. Weights of the criteria directly affect decision results in MCDM, so it is important for us to acquire the appropriate weights of the criteria. In some decision making problems, experts always express their preference by multiplicative preference relation and fuzzy preference relation. In this paper, an objective method based on information granularity is proposed for acquiring weights of the criteria in MCDM. Moreover, we prove that the essence of a consistence preference relation is a partial relation, and analyze the corresponding partial granular structure of the alternative set according to the given partial relation.
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Wang, B., Liang, J., Qian, Y. (2012). Information Granularity and Granular Structure in Decision Making. In: Li, T., et al. Rough Sets and Knowledge Technology. RSKT 2012. Lecture Notes in Computer Science(), vol 7414. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31900-6_54
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DOI: https://doi.org/10.1007/978-3-642-31900-6_54
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31899-3
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