Table 10 Description of Professional evaluation indicators.
From: A novel intuitionistic fuzzy Yager aggregation framework for decision making in green supply chains
Indicator | Description |
|---|---|
Uncertainty modelling capability | Ability of the proposed framework to represent the uncertainty of expert evaluations based on intuitionistic fuzzy information for GRSCM criteria such as green procurement, eco-design and environmental compliance, etc |
Hesitation preservation | Extent to which the aggregation process retains and propagates the degree of hesitation present in the expert judgment(s) when conducting a sustainable assessment |
Aggregation flexibility | Capability of Yager’s Parameterized T-Norm and T-Conorm to adapt its aggregation behaviour based on the different attitudes towards decision-making found in sustainable evaluations |
Criteria weighting objectivity | Effectiveness of the Entropy-Based Weighting Scheme in determining the relative importance of the sustainability criteria objectively rather than only based on expert’s subjective preferences |
Theoretical consistency | Assurance of mathematical soundness through satisfaction of axiomatic properties such as idempotency, monotonicity, boundedness, and commutativity within the aggregation process |
Ranking stability | The degree to which the proposed method produces ranking(s) of GRSCM alternatives that are consistent and reliable with respect to the intuitionistic fuzzy aggregation |
Result Interpretation | Clarity with which decision-makers can understand and explain the aggregated results and final rankings in practical sustainability decision scenarios |
Practical applicability | Suitability of the proposed framework for real-world GRSCM decision-making problems involving multiple sustainability criteria and uncertain information |
