q-Rung orthopair fuzzy N-soft aggregation operators and corresponding applications to multiple-attribute group decision making
q-Rung orthopair fuzzy N-soft aggregation operators and corresponding applications to multiple-attribute group decision making
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DOI：
10.1007/s00500-022-07126-4
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发表时间：
2021-05
期刊：
影响因子：
4.1
通讯作者：
Haidong Zhang;TaiBen Nan;Yanping He
中科院分区：
文献类型：
--
作者：
Haidong Zhang;TaiBen Nan;Yanping He
本文将q阶正射模糊集（q-ROFS）与N-软集相结合，提出了q阶正射模糊N-软集（q-ROFNSS）。在q-ROFNSS的基础上，研究了q阶正射模糊N-soft加权平均（q-ROFNSWA）算子和q阶正射模糊N-soft加权几何（q-ROFNSWG）算子，并研究了q-ROFNSWG算子和q-ROFNSWG算子的幂等性、单调性和有界性.最后，建立了两种基于q阶正射模糊N-soft集结算子的多属性群决策方法。最后通过实例验证了新决策方法的有效性和正确性。通过与现有方法的比较，阐述了该方法的优越性.
In this paper, by integrating the q-rung orthopair fuzzy set (q-ROFS) with the N-soft set, we first propose a q-rung orthopair fuzzy N-soft set (q-ROFNSS). Based on the q-ROFNSS, we explore the q-rung orthopair fuzzy N-soft weighted average (q-ROFNSWA) operator and q-rung orthopair fuzzy N-soft weighted geometric (q-ROFNSWG) operator, and investigate some properties of the q-ROFNSWG operator and q-ROFNSWG operator including idempotency, monotonicity and boundedness. Finally, two kinds of multiple-attribute group decision-making (MAGDM) methods based on q-rung orthopair fuzzy N-soft aggregation operators are established. In addition, a practical example is provided to illustrate the effectiveness and correctness of the new decision-making approaches. Through comparison with existing methods, the advantages of our method are also elaborated.