Abstract
A bipolar soft set is given by helping not only a chosen set of 'parameters' but also a set of oppositely meaning parameters called 'not set of parameters'. It is known that a structure of bipolar soft set is consisted of two mappings such that F : E → P (X) and G :⌉ E → P (X), where F explains positive information and G explains opposite approximation. In this study, we first introduce a new definition of bipolar soft points to overcome the drawbacks of the previous definition of bipolar soft points given in [34]. Then, we explore the structures of bipolar soft locally compact and bipolar soft paracompact spaces. We investigate their main properties and illuminate the relationships between them. Also, we define the concept of a bipolar soft compactification and investigate under what condition a bipolar soft topology forms a bipolar soft compactification for another bipolar soft topology. To elucidate the presented concepts and obtained results, we provide some illustrative examples.
| Original language | English |
|---|---|
| Pages (from-to) | 6755-6763 |
| Number of pages | 9 |
| Journal | Journal of Intelligent and Fuzzy Systems |
| Volume | 43 |
| Issue number | 5 |
| DOIs | |
| State | Published - 20 Jul 2022 |
Keywords
- bipolar soft locally compactness
- bipolar soft paracompactness
- bipolar soft set
- bipolar soft topology
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