
Bipolar Soft Generalized Topological Structures and Their Application in Decision Making
Author(s) -
Hind Saleh,
Baravan A. Asaad,
Ramadhan A. Mohammed
Publication year - 2022
Publication title -
european journal of pure and applied mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.245
H-Index - 5
ISSN - 1307-5543
DOI - 10.29020/nybg.ejpam.v15i2.4353
Subject(s) - mathematics , soft set , topological space , closure (psychology) , space (punctuation) , set (abstract data type) , boundary (topology) , basis (linear algebra) , topology (electrical circuits) , algebra over a field , pure mathematics , mathematical analysis , artificial intelligence , computer science , geometry , combinatorics , economics , market economy , programming language , fuzzy logic , operating system
The basic of bipolar soft set theory stands for a mathematical instrument that bringstogether the soft set theory and bipolarity. Its definition is based on two soft sets, a set thatprovides positive information and other that gives negative. This paper mainly aims at defininga new bipolar soft generalized topological space; setting out of the point that the collection ofbipolar soft sets forms the basis for the definition of the new concept is defined. Added to that,an investigation has been made of the four concepts of bipolar soft generalized, namely g-interior,g-closure, g-exterior and g-boundary. Furthermore, the main properties of bipolar soft generalizedtopological space (BSGT S) are established. This paper also attends to the discussion of therelations between these new definitions and the application of the given bipolar soft generalizedtopological spaces in a decision-making problem where an algorithm for this application has beensuggested. Finally, to clarify and substantiate what the current work subsumes, some exampleshave been provided.