Journal
IEEE ACCESS
Volume 8, Issue -, Pages 62298-62309Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2020.2984583
Keywords
Algorithm; multi-attribute group decision-making problem; < italic xmlns:ali=http:; www; niso; org; schemas; ali; 1; 0; xmlns:mml=http:; www; w3; org; 1998; Math; MathML xmlns:xlink=http:; www; w3; org; 1999; xlink xmlns:xsi=http:; www; w3; org; 2001; XMLSchema-instance> N <; italic >-soft set; Pythagorean fuzzy set; Pythagorean fuzzy < italic xmlns:ali=http:; www; niso; org; schemas; ali; 1; 0; xmlns:mml=http:; www; w3; org; 1998; Math; MathML xmlns:xlink=http:; www; w3; org; 1999; xlink xmlns:xsi=http:; www; w3; org; 2001; XMLSchema-instance> N <; italic >-soft set
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Funding
- National Natural Science Foundation of China [61966032]
- Fundamental Research Funds for the Central Universities of Northwest Minzu University [31920190055]
- Research Foundation for Advanced Talents of Northwest Minzu University [xbmuyjrc201909]
- Gansu Provincial First-class Discipline Program of Northwest Minzu University [11080305]
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In this paper, by integrating Pythagorean fuzzy set with-soft set, we propose a generalization of-soft set called the theory of Pythagorean fuzzy-soft set and explore some of related operations concerning this theory including the weak complement, extended union and intersection, restricted union and intersection. Then two algorithms are introduced to Pythagorean fuzzy-soft sets for dealing with multi-attribute group decision-making problems. Finally, a practical example is provided to illustrate the validity and practicality of Pythagorean fuzzy-soft sets in multi-attribute group decision-making problems. Compared with the existing models, we also elaborate the advantages of this model.
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