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Approaches to Interval Intuitionistic Trapezoidal Fuzzy Multiple Attribute Decision Making with Incomplete Weight Information

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Abstract

With respect to multiple attribute decision-making problems with interval intuitionistic trapezoidal fuzzy information, some operational laws of interval intuitionistic trapezoidal fuzzy numbers, score function, and accuracy function of interval intuitionistic trapezoidal fuzzy numbers are introduced. An optimization model based on the maximizing deviation method, by which the attribute weights can be determined, is established. For the special situations where the information about attribute weights is completely unknown, we establish another optimization model. By solving this model, we get a simple and exact formula, which can be used to determine the attribute weights. We utilize the interval intuitionistic trapezoidal fuzzy weighted averaging operator to aggregate the interval intuitionistic trapezoidal fuzzy information corresponding to each alternative, and then rank the alternatives and select the most desirable one(s) according to the score function and accuracy function. Finally, an illustrative example is given to verify the developed approach and to demonstrate its practicality and effectiveness.

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Acknowledgments

The work was supported by the Humanities and Social Sciences Foundation of Ministry of Education of the People’s Republic of China (14YJCZH082) and the construction plan of scientific research innovation team for colleges and universities in Sichuan Province (15TD0004).

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  1. School of Business, Sichuan Normal University, Chengdu, 610101, People’s Republic of China

    Guiwu Wei

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  1. Guiwu Wei
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Correspondence to Guiwu Wei.

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Wei, G. Approaches to Interval Intuitionistic Trapezoidal Fuzzy Multiple Attribute Decision Making with Incomplete Weight Information. Int. J. Fuzzy Syst. 17, 484–489 (2015). https://doi.org/10.1007/s40815-015-0060-1

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  • DOI: https://doi.org/10.1007/s40815-015-0060-1

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