Parameter trees based on soft set theory and their similarity measures

Soft set theory is an important tool for dealing with problems involving uncertainty. In a soft set, parameter set is a classical set. In this study, we introduce parameter trees by using mappings from parameter set into power set of parameter set and investigate some properties of them. We also define operations between two parameter trees and obtain some of their properties. Furthermore we give a similarity measure method between parameter trees.

Automated summary

Soft set theory is an important tool for dealing with uncertainty. In this study, parameter trees are introduced using mappings from parameter set into power set of parameter set. Operations between parameter trees are defined and their properties are obtained. A similarity measure method between parameter trees is also provided.