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June 2, 2026Fuel Processing Technology1 citationsOpen Access

Harnessing fuzzy forest intelligence: A novel mechanism modeling approach for particle matter concentration in sewage sludge–municipal solid waste co-incineration

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JTJian Tang远陈远河 陈LALoai Aljerf

Key Points

  • To develop a novel mechanism model for predicting particulate matter generation in sewage sludge and municipal solid waste co-incineration.
  • Developed a novel interval type 2 fuzzy forest model to enhance uncertainty handling.
  • Conducted sensitivity analysis to explore the effects of manipulated variables.
  • Performed visual analysis to interpret the model outcomes.
  • The interval type 2 fuzzy forest (IT2FF) model significantly improved prediction accuracy of PM concentrations.
  • Sensitivity analysis identified key variables impacting PM generation during the co-incineration process.

Abstract

• Particulate matter (PM) generation simulation for SS-MSW co-incineration process. • Novel interval type 2 fuzzy forest (IT2FF) for enhancing the uncertainty-handling capability. • PM concentration mechanism model for the SS-MSW co-incineration process. • Sensitivity analysis and visual analysis in terms of manipulated variable.

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Cite This Study

Tang et al. (2026) studied this question.

synapsesocial.com/papers/6a1e726230b38c64201b5a3chttps://doi.org/10.1016/j.fuproc.2026.108498
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