作者: Y.M. Zhang , G.H. Huang , L. He , Y.P. Li
DOI: 10.1016/J.RESCONREC.2008.05.003
关键词: Quality (business) 、 Ranking 、 Engineering 、 Component analysis 、 Fuzzy set 、 Component (UML) 、 Compost 、 Operations management 、 Statistics 、 Municipal solid waste 、 Fuzzy logic
摘要: A fuzzy latent component analysis (FLCA) method was proposed for assessing the quality of composting products under uncertainty. In FLCA, vague and ambiguous information associated with multiple compost indicators were handled as sets converted into independent components that had lower dimensions; non-correlative could then be used ranking quality. The eight types co-composting products. Two scenarios considered. main strategy scenario to evaluate quality, provide decision makers a cursory suggestion. Scenario B is more conservative, representing robust alternative. two analyzed fitting degree levels. By center values each component, an assessment system in terms generated.