Related Experiment Video
Updated: Jun 28, 2025

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents
Published on: September 10, 2018
Multi-attribute decision-making for electronic waste recycling using interval-valued Fermatean fuzzy Hamacher
Anam Luqman1, Gulfam Shahzadi2
1Division of Science and Technology, Department of Mathematics, University of Education, Lahore, Pakistan.
Selecting optimal waste electrical and electronics equipment (WEEE) recycling partners is crucial for environmental sustainability. This study introduces novel multi-attribute decision-making (MADM) techniques using interval-valued Fermatean fuzzy information to improve WEEE recycler selection.
Area of Science:
- Environmental Science
- Decision Science
- Fuzzy Mathematics
Background:
- Waste electrical and electronics equipment (WEEE) recycling is vital for environmental protection and reducing carbon emissions.
- Selecting appropriate WEEE recycling partners is a complex decision-making (DM) challenge due to numerous qualitative and quantitative factors.
- Effective WEEE recycling partner assessment is essential for sustainable environmental growth.
Purpose of the Study:
- To propose novel multi-attribute decision-making (MADM) techniques for evaluating WEEE recycling partners.
- To develop a decision-making method using interval-valued Fermatean fuzzy (IVFF) information and Hamacher aggregation operators (AOs).
- To address the complex problem of selecting WEEE recycling partners in an eco-friendly manner.
Main Methods:
- Development of specific Hamacher aggregation operators, including weighted averaging and geometric variants.
- Application of these operators within an MADM framework under interval-valued Fermatean fuzzy (IVFF) conditions.
- Implementation of the proposed technique in a case study for e-waste recycling partner selection in China.
Main Results:
- The proposed MADM technique effectively evaluates WEEE recycling partners using IVFF information.
- A case study in China demonstrated the practical application and efficacy of the developed method.
- Comparison with existing techniques confirmed the proposed model's productivity, coherence, accuracy, and consistency.
Conclusions:
- The developed MADM approach provides a robust framework for selecting WEEE recycling partners.
- The technique is highly compatible and applicable for handling complex decision-making problems in WEEE recycling.
- This research contributes to more eco-friendly and efficient WEEE recycling practices through improved partner selection.
More Related Videos
Related Concept Videos
Decision Making
Automatic decision-making is fast, intuitive, and relies on gut feelings...
Stereotype Content Model
Framing Effects
Frustration and Conflict: Avoidance-Avoidance, Double-Approach Avoidance
Reason and Intuition
The Availability Heuristic

