Title: A hierarchical process for composite indices
Authors: Wendy Lou - University of Toronto (Canada) [presenting]
Abstract: Quantifying a multifaceted concept for analytical purposes often involves multiple data sources with attributes requiring input from domain experts whose opinions likely vary across domains (e.g environmentalist, health care provider, urban planner etc.). Motivated by an ongoing Canadian urban environmental health research project, a composite urban green index is developed based on a hierarchical approach with fuzzy weights that incorporate expert opinions. The methodology will be described first, followed by simulations and numerical comparisons to illustrate the practical applications.