Journal
Volume & Issue
Volume 8, Issue 2
Published on
Pages
DOI
Article
Bipolar Soft Expert Sets on Nearness Approximation Space
Authors
Abstract
Bipolar soft set is provided with two soft sets, one positive and the other negative. By adding the opinions of experts to this set, it is easier to choose which feature is stronger to find the object we want. The concept of near soft set is a concept that can distinguish soft sets with similar properties according to the same equivalence class. These two sets of features and expert opinions can be thought of as a single feature set. In this article, the concept of a near bipolar soft expert set and its basic properties are introduced, to which the near set features are added to the bipolar soft expert set. In this new set, with the help of features and expert opinions, a new equivalence relation is created and objects are classified. Accordingly, the basic properties of the set can be examined. With the near bipolar soft expert set, practicality will be provided in decision making so that we can find the most suitable object in practice. This new idea is illustrated with real-life examples. Thanks to the near soft expert set, we make it easy to choose the one closest to the criteria we want in decision making. Among the many given objects, we can find the ones with similar properties with the properties we want with an equivalence relation that we restrict more by using the experts’ opinion.