Determining the (non-)membership degrees in the range (0,1) independently of the decision-makers for bipolar soft sets
Bipolar soft sets, which are a generalization of soft sets, are a very useful mathematical model for performing complex data analysis correctly since each parameter also takes into account the NOT parameter. However, in bipolar soft sets, we can express membership degrees as 0 or 1, and we cannot pr...
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| Formato: | article |
| Lenguaje: | EN |
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Taylor & Francis Group
2021
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| Acceso en línea: | https://doaj.org/article/616fe0ade3ce4f5596912250a5e2cd82 |
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