Guohe Huang

TL;DR: An interval-parameter fuzzy robust programming (IFRP) method is developed for the assessment of filter allocation and replacement strategies in a fluid power system (FPS) under uncertainty as mentioned in this paper, which can effectively handle the uncertainties expressed as fuzzy sets, interval values, and their combinations, which exist in contaminant ingression/generation of the system and contaminant holding capacity of filter without making assumptions on their probabilistic distributions.

TL;DR: The results indicated that higher probability of violating system constraints would increase risk of system, but lower the total cost; the proportion of optimized thermal power generation and imported electricity would decrease, which could promote the energy conservation and emissions reduction in some degree.

TL;DR: In this paper, the authors describe the software Soil-Visual (1.0, 1.1), which is used for visualizing the soil sampling data, the soil type distribution, and contaminant concentration distribution of a contaminated site.

TL;DR: In this article, a generalized fuzzy integer programming (GFIP) method is developed for planning waste allocation and facility expansion under uncertainty, which can deal with uncertainties expressed as fuzzy sets with known membership functions regardless of the shapes (linear or nonlinear) of these membership functions, and allow uncertainties to be directly communicated into the optimization process and the resulting solutions.

TL;DR: The results indicated that the model can provide an effective linkage between conflicting economic cost and the system stability, and different power demand levels correspond to different electricity generation schemes with varied energy policy and power structural adjustment.