Sustainability assessment of intelligent buildings involves multiple indicators and parameters, multi-criteria decision-making and multiple variables model. In order to solve the problem: firstly, identify the key performance indicators of the sustainability related to intelligent buildings (environmental, social, economic and technological factors);optimize the selected indicators with both experts knowledge and measurable data; secondly, develop a new model for measuring the level of sustainability for intelligent buildings. The data acquisition of objective indicators for intelligent buildings is based upon the wireless wearable sensors networks, and the subjective indicators connected with expert experience derived through questionnaire surveys. Using a consensus-based model, which is analyzed by the analytical hierarchical process (AHP) for multi-criteria decision-making. Using the multi-attribute model based on structure entropy weight methodology and fuzzy comprehensive evaluation for priority and weight setting in the sustainability assessment is studied. It is concluded that the whole system not only acquires multiple data but also gets available and reliable assessment for the sustainability of intelligent buildings.
Sustainability Assessment of Groundwater Remediation Technologies Based on Multi Criteria Decision Making
