作者: Thomas Loetscher , Jürg Keller
DOI: 10.1016/S0038-0121(02)00007-1
关键词: Developing country 、 Sanitation 、 Selection (genetic algorithm) 、 Task (project management) 、 Field (computer science) 、 Environmental resource management 、 Risk analysis (engineering) 、 Decision support system 、 Sustainability 、 Computer science
摘要: Due to the socio-economic inhomogeneity of communities in developing countries, selection sanitation systems is a complex task. To assist planners and assessing suitability alternatives, decision support system SANEX™ was developed. evaluates alternatives two steps. First, Conjunctive Elimination, based on 20 mainly technical criteria, used screen feasible alternatives. Subsequently, model derived from Multiattribute Utility Technique (MAUT) uses technical, socio-cultural institutional criteria compare remaining with regard their implementability sustainability. This paper presents algorithm, examples its application practice, results obtained field testing.