Ni-Bin Chang

TL;DR: Research findings show that the proposed SDSS may aid in recognizing the pros and cons of potential areas for the localization of landfill sites in any study region.

TL;DR: Considering systems analysis models and tools in a synergistic way would certainly provide opportunities to develop better solid waste management strategies leading to conformity with current standards and foster future perspectives for both the waste management industry and government agencies in European Union.

TL;DR: A new approach--system dynamics modeling--for the prediction of solid waste generation in a fast-growing urban area based on a set of limited samples is presented and research findings clearly indicate that such a new forecasting approach may cover a variety of possible causative models and track inevitable uncertainties down when traditional statistical least-squares regression methods are unable to handle such issues.

TL;DR: A comparative study using three fuzzy synthetic evaluation techniques to assess water quality conditions in comparison to the outputs generated by conventional procedures such as the Water Quality Index (WQI), indicating that the techniques may successfully harmonise inherent discrepancies and interpret complex conditions.

TL;DR: A fuzzy goal programming approach is applied for the optimal planning of solid waste management systems in a metropolitan region and demonstrates how fuzzy, or imprecise, objectives of the decision maker can be quantified through the use of specific membership functions in various types ofSolid waste management alternatives.