Bipolar N-soft set theory with applications

被引：0
作者：
Hüseyin Kamacı
Subramanian Petchimuthu
机构：
[1] Yozgat Bozok University,Department of Mathematics
[2] University College of Engineering,Department of Mathematics
来源：
Soft Computing | 2020年 / 24卷
关键词：
Soft sets; -soft sets; Bipolar ; -soft sets; Operations of bipolar ; -soft sets; Decision making;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper, the notion of bipolar N-soft set, which is the bipolar extension of N-soft set, and its fundamental properties are introduced. This new idea is illustrated with real-life examples. Moreover, some useful operations and products on the bipolar N-soft sets are derived. We thoroughly discuss the idempotent, commutative, associative, and distributive laws for these emerging operations and products. Also, we set forth two outstanding algorithms to handle the decision-making problems under bipolar N-soft set environments. We give potential applications and comparison analysis to demonstrate the efficiency and advantages of algorithms.
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页码：16727 / 16743
页数：16
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共 65 条
  • [11] Saeid AB(1986)New decision-making hybrid model: intuitionistic fuzzy Fuzzy Sets Syst 22 3829-3842
  • [12] Leoreanu-Fotea V(2018)-soft rough sets Soft Comput 7 1550054-1432
  • [13] Akram M(2015)Bipolar neutrosophic soft sets and applications in decision making Discrete Math Algorithms Appl 59 1425-1614
  • [14] Adeel A(2010)Attributes reductions of bipolar fuzzy relation decision systems Comput Math Appl 23 1603-31
  • [15] Alcantud JCR(2019)Bipolar fuzzy soft expert set and its application in decision making Soft Comput 37 19-1656
  • [16] Akram M(1999)Intuitionistic fuzzy sets Comput Math Appl 26 1645-31
  • [17] Adeel A(2014)-soft sets and their decision making algorithms J Intell Fuzzy Syst 39 68-6536
  • [18] Alcantud JCR(2020)A new approach to bipolar soft sets and its applications Comput Appl Math 12 1-418
  • [19] Akram M(2019)Generalised fuzzy soft sets Int J Biomath 36 6521-487
  • [20] Ali G(2019)Rough fuzzy bipolar soft sets and application in decision-making problems J Intell Fuzzy Syst 203 412-539
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