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An intuitionistic fuzzy projection-based approach and application to software quality evaluation

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Abstract

Projection is a very important measure in decision science. However, this research finds that the existing projection measures are not always reasonable in intuitionistic fuzzy settings. To solve this problem, this work provides a new normalized projection measure. And this work establishes a new group decision-making model based on new normalized projection measure and TOPSIS (technique for order preference by similarity to ideal solution) technique. This paper also introduces a practical application to the software quality evaluation. An experimental analysis shows the practicability, feasibility and validity of method introduced in this paper. In a word, this article contributes to knowledge domain a new decision-making technique and tool.

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Acknowledgements

This work was supported in part by the Young Creative Talents Project from Department of Education of Guangdong Province (No. 2016KQNCX064), Project of Enhancing School with Innovation of Guangdong Ocean University (No. GDOU2017052802).

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  1. College of Mathematics and Computer Science, Guangdong Ocean University, Zhanjiang, 524088, Guangdong, China

    Chuan Yue

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  1. Chuan Yue
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Correspondence to Chuan Yue.

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Yue, C. An intuitionistic fuzzy projection-based approach and application to software quality evaluation . Soft Comput 24, 429–443 (2020). https://doi.org/10.1007/s00500-019-03923-6

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