A New Decision Making Model Based on Complex Intuitionistic Fuzzy Soft Lattice for Traffic Monitoring in the Pandemic Scenarios

Abstract

Various representations of real-life scenarios by algebraic structures are of vital importance in the modern era of Industrial Revolution 4.0 as it enables such data to be interpreted and processed by artificial intelligence, thus bridging the interaction gap between humans and machines. In response to that, this article proposes a new decision making model for traffic control among shopping complexes utilizing the novel concept of the complex intuitionistic fuzzy soft lattice of the circular type (CIFSL-C), which takes the time within a day as truly directional entities. As a result, CIFSL-C possesses the combined structural complexity and the level of sophistication of all the previous algebraic models which they are derived from, enabling them to be utilized in representing many real-life scenarios, including those related to the pandemic, which will be rigorously discussed in this article. In addition, the complex intuitionistic fuzzy soft lattice of the quaternion type (CIFSL-Q) will also be established.