Decision-making algorithm based on the energy of interval-valued fuzzy soft sets

TL;DR

This paper introduces an energy-based decision-making algorithm using interval-valued fuzzy soft sets, enhancing handling of uncertainty in decision processes with demonstrated effectiveness and comparative advantages.

Contribution

The paper presents a novel energy measure for interval-valued fuzzy soft sets and develops an effective decision-making algorithm based on this concept.

Findings

The algorithm successfully applied to uncertain decision problems.

Comparison shows advantages over existing methods.

Demonstrated effectiveness through illustrative examples.

Abstract

In our work, we continue to explore the properties of interval-valued fuzzy soft sets, which are obtained by combining interval-valued fuzzy sets and soft sets. We introduce the concept of energy of an interval-valued fuzzy soft set, as well as pessimistic and optimistic energy, enabling us to construct an effective decision-making algorithm. Through examples, the paper demonstrates how the introduced algorithm is successfully applied to problems involving uncertainty. Additionally, we compare the introduced method with other methods dealing with similar or related issues.