Abstract
Multi-attribute group decision-making problem (MAGDMP) has received increasing attentions in recent years. Nowadays, many attribute weighting approaches have been developed to comprehensively evaluate all the alternatives in MAGDMP. In this paper, two optimal programming models are presented, and then a satisfaction function is also developed. Finally, an example is provided to illustrate the specific decision-making process. The proposed method will be helpful for setting and adjusting subjective attribute weights to achieve consistency in interactive group decision-making.
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Acknowledgements
This research is supported by the National Natural Science Foundation of China (No. 71271116) and Humanities and Social Science Fund of Ministry of education of China (No. 09JD630522, 12YJC630044) and China Scholarship Council (20123043).
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Jiang, W., Shen, P., Liu, F., Fang, X. (2015). An Interactive Group Decision Making Approach Based on Satisfaction Degree. In: Zhang, Z., Shen, Z., Zhang, J., Zhang, R. (eds) LISS 2014. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-43871-8_181
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DOI: https://doi.org/10.1007/978-3-662-43871-8_181
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