Skip to content
DraconiticResearch
Search Sources API
197,693 studies31 sourcesUpdated 6 min ago
Peer-reviewedCC BY-NC-NDFuel Processing Technology

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

  • Jian Tang1,2
  • 远河 陈2
  • Loai Aljerf3
  • Yongqi Liang1,2
  1. 1Beijing Laboratory of Smart Environment Protection, Beijing 100124, China
  2. 2School of Information Science and Technology, Beijing University of Technology, Beijing 100124, China
  3. 3Department of Chemistry, Faculty of Science, Damascus University, Damascus, Syrian Arab Republic
Open at sourceDOICite

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.

Related

  1. Coupled negative-ion and HHO assistance stabilizes combustion and suppresses emissions in small-scale municipal solid waste incineration
    Tamer M. Ismail, Safwat Gazal, Emad Gamal +2
    Scientific ReportsPeer-reviewedCC BY 4.0Full textEnvironmental science & pollutionCrossref
  2. Municipal Solid Waste Incineration with Energy Recovery: A Critical Review of Process Performance, Emissions, Residues, and System Integration
    Marian Banaś, Tadeusz Pająk, Józef Ciuła
    EnergiesPeer-reviewedCC BY6 citedEnvironmental science & pollutionOpenAlex
  3. Integrating high-resolution magnetic surveys and metaheuristic optimization for quantitative characterization of subsurface magnetic sources in a municipal landfill
    Eko Minarto, Z. R. Almiranda Lesar
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Full textGeophysics & seismologyCrossref
  4. Valorization of Municipal Sewage Sludge into Activated Carbon for Cationic Dye Removal
    Rabia Boudia, Nechoua Oum El Bakht Khorsi, Hayat Mokdad +2
    International Journal of Aquatic Research and Environmental StudiesPeer-reviewedLicence not statedFull textGeneral chemistryEnvironmental science & pollutionHAL
  5. Classification of imbalanced municipal solid waste image datasets
    Xiaofen Luo
    Discover EnvironmentPeer-reviewedCC BYFull textEnvironmental science & pollutionDOAJ

Cite

BibTeXRIS
BibTeX
@article{tang2026harnessing,
  title = {{Harnessing fuzzy forest intelligence: A novel mechanism modeling approach for particle matter concentration in sewage sludge–municipal solid waste co-incineration}},
  author = {Jian Tang and 远河 陈 and Loai Aljerf and Yongqi Liang},
  journal = {Fuel Processing Technology},
  year = {2026},
  month = may,
  doi = {10.1016/j.fuproc.2026.108498},
  url = {https://doi.org/10.1016/j.fuproc.2026.108498},
  note = {CC BY-NC-ND},
}
RIS
TY  - JOUR
TI  - Harnessing fuzzy forest intelligence: A novel mechanism modeling approach for particle matter concentration in sewage sludge–municipal solid waste co-incineration
AU  - Jian Tang
AU  - 远河 陈
AU  - Loai Aljerf
AU  - Yongqi Liang
PY  - 2026
DA  - 2026/05/30
JO  - Fuel Processing Technology
DO  - 10.1016/j.fuproc.2026.108498
UR  - https://doi.org/10.1016/j.fuproc.2026.108498
AB  - • 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.
SN  - 0378-3820
SN  - 1873-7188
ER  -