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Some Geometric Operators for Aggregating Intuitionistic Linguistic Information

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Abstract

With respect to intuitionistic linguistic information aggregation problems, we first define a new score function and a new accuracy function of intuitionistic linguistic number (ILN) and present a simple method for the comparison between two ILNs. Then, based on the intuitionistic linguistic weighted geometric averaging (ILWGA) operator, we propose two new intuitionistic linguistic geometric operators, such as the intuitionistic linguistic ordered weighted geometric (ILOWG) operator and intuitionistic linguistic hybrid geometric (ILHG) operator, and establish various properties of these operators. Furthermore, we apply the ILHG and ILWGA operators to solve multi-criteria group decision making problems, in which the criterion values take the form of ILNs and the criterion weight information is known completely. Finally, an illustrative example is given to demonstrate the feasibility and effectiveness of the developed approach.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (No. 71271218, 71221061 and 61174075), the Humanities and Social Science Foundation of the Ministry of Education of China (No. 12YJA630114 and 13YJC630200), and the Natural Science Foundation of Hunan Province of China (No. 2015JJ2047). The authors are very grateful to the editors and the anonymous reviewers for their constructive comments and suggestions that have led to an improved version of this paper.

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Wang, X., Wang, J. & Deng, S. Some Geometric Operators for Aggregating Intuitionistic Linguistic Information. Int. J. Fuzzy Syst. 17, 268–278 (2015). https://doi.org/10.1007/s40815-015-0007-6

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  • DOI: https://doi.org/10.1007/s40815-015-0007-6

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