3. RONAK-N/A RAZAVISOUSAN
Information acquired: 2025
RONAK-N/A RAZAVISOUSAN is an academic who published a paper in 2022 entitled Building Textual Fuzzy Interpretive Structural Modeling to Analyze Complex Problems. RONAK-N/A RAZAVISOUSAN published this work as part of a team: Razavisousan, Ronak N/A. Here is a description of this work: Organizations regularly make decisions on complex issues with multiple variables or parameters. Hence, there is a strong motivation for the organization's Management to formalize and adopt a scientific approach to their decision-making based on their ground truth data. From a scientific point of view, each variable or parameter that influences a complex issue must be analyzed independently and within the networks of other parameters. This methodology enables us to understand each parameter's role and the potential for affecting or changing the whole system. However, with the complexity of issues and the deluge of Big Data to be analyzed, it is not feasible to apply several different approaches before making a timely and informed decision. We have developed a novel methodology, called Textual Fuzzy Interpretive Structural Modelin.