Pythagorean Fuzzy Heronian Mean Decision Algorithms and Applications
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School of Computer Science, Guangdong AIB Polytechnic College, Guangzhou, 510507, China

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TP181

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    Abstract:

    The multi-attribute decision making problem in the relationship between attribute values under Pythagorean fuzzy number information environment is researched. Firstly, the Pythagorean fuzzy number operations based on t-norm and t-conorm are defined. Then, the Heronian mean is integrated into the construction process of aggregation operator. The three characteristic properties of Pythagorean fuzzy Heronian mean (PFHM) and its commonly used special cases are also discussed. In addition, a new improved Pythagorean fuzzy decision making model is constructed, which considers the relationship between input attribute values and improves the scope of decision-making. Finally, an example of multi-attribute decision making is provided to verify the rationality and effectiveness of the proposed model.

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YANG Ying, LI Dongrui, HUANG Xiaofeng. Pythagorean Fuzzy Heronian Mean Decision Algorithms and Applications[J].,2020,35(5):991-1000.

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History
  • Received:December 31,2019
  • Revised:February 24,2020
  • Adopted:
  • Online: September 25,2020
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