Abstract
An integrated fuzzy ranking analysis (IFRA) method was developed to help evaluate the quality of waste composts under a variety of system complexities and uncertainties. It combined the latent component analysis and ameliorated G-index fuzzy relationship analysis into a general framework. The IFRA could handle different types of uncertainties, investigate the complex interrelationships among multiple indicators, and determine the best-quality product among a variety of alternatives. The IFRA was then applied to assess eight types of composts. An example standard was established in relation to potting grade and soil amendment. Two main policy scenarios were investigated. The obtained results could help decision makers distinguish the compost products by different usages, and distribute the products to appropriate markets. Moreover, the IFRA method could help promote new policies that would ultimately improve the marketing and development strategies for the composting industry.
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