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Picture 2-tuple linguistic aggregation operators in multiple attribute decision making

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Abstract

In this paper, we investigate the multiple attribute decision-making problems with picture 2-tuple linguistic information. Then, we utilize arithmetic and geometric operations to develop several picture 2-tuple linguistic aggregation operators. The prominent characteristic of these proposed operators is studied. Then, we have utilized these operators to develop some approaches to solving the picture 2-tuple linguistic multiple attribute decision-making problems. Finally, a practical example for enterprise resource planning (ERP) system selection is given to verify the developed approach and to demonstrate its practicality and effectiveness.

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Acknowledgments

This publication arises from research funded by the National Natural Science Foundation of China under Grant Nos. 61174149 and 71571128 and the Humanities and Social Sciences Foundation of Ministry of Education of the People’s Republic of China (Nos. 16XJA630005, 16YJCZH126) and the construction plan of scientific research innovation team for colleges and universities in Sichuan Province (15TD0004).

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Correspondence to Guiwu Wei.

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Wei, G., Alsaadi, F.E., Hayat, T. et al. Picture 2-tuple linguistic aggregation operators in multiple attribute decision making. Soft Comput 22, 989–1002 (2018). https://doi.org/10.1007/s00500-016-2403-8

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