Algebraic properties of operations on n-ary relation soft set

Robots that operate in real-world settings must be able to recognize, model, and infer the semantic features of things. Existing frameworks for knowledge reasoning are only able to describe the binary relationships between the semantic qualities of an item and its class label; they are unable to reason about the attributes of objects that are identified by various perception algorithms and based on a variety of sensory modalities. We provide an n-ary representation that describes intricate, interconnected object attributes in order to bridge the gap between multimodal perception and knowledge reasoning. In this work, we present an algebraic properties of operations on n-ary relation soft set, which is more functional to make practical and theoretical ideas or studies in the soft set theory. We center around the fundamental algebraic properties of operations on the n-ary relation soft set and study some propositions of these algebraic properties. This new properties are advantageous and contributes in some scientific applications.