Aggregation Methods in Fuzzy Sets
Research gap analysis derived from 2 biology papers in our local library.
The gap
There is a need to compare different aggregation methods (such as IFWA vs. IFWG or Choquet integral) within fuzzy set frameworks to understand their relative impacts on decision-making and environmental pollution quality control.
Consensus across the literature
The papers collectively leave open the comparative analysis of various aggregation methods in fuzzy set contexts.
Research trend
Emerging — attention growing, methods still coalescing.
Supporting evidence — 2 representative gaps
- A novel complex Fermatean fuzzy formalism with improved score function and aggregation operators (2026) · doi
The comparative analysis in Section 4.2 only compares the proposed CFFOWA and CFFOWG operators against operators in IF, PF, and FF settings, but does not explore comparison with other complex fuzzy number frameworks or recently developed aggregation methods.
Keywords: operators comparative compares proposed cffowa cffowg against settings explore comparison complex fuzzy number frameworks recently - Assessing Environmental Pollution: Quality Control Using CRITIC-WASPAS Methods under Intuitionistic Fuzzy Z-Numbers (2026) · doi
The aggregation operators (IFWA) used to combine expert judgments in the intuitionistic fuzzy Z-number framework were not compared against alternative aggregation methods (such as IFWG or Choquet integral operators); comparative analysis of different aggregation strategies' impact on environmental pollution quality control rankings is absent.
Keywords: aggregation operators intuitionistic fuzzy Z-numbers IFWA IFWG Choquet integral expert consensus
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