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Bid Evaluation for Major Construction Projects Under Large-Scale Group Decision-Making Environment and Characterized Expertise Levels

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Paper Summary

Paperzilla title
A New Way to Pick the Best Builder (No More Low-Ballers!)

This research presents a method for selecting the best contractor for major construction projects, involving a large group of experts. It considers expert expertise levels, uses a new way to gather opinions, and applies a decision-making technique that handles uncertainty and avoids common pitfalls of simpler methods.

Explain Like I'm Five

This is like when you and your friends want to pick the best team to build a giant LEGO castle. Scientists found a way for lots of grown-up experts to decide fairly, considering who knows the most, so they pick the very best builder.

Possible Conflicts of Interest

None identified

Identified Limitations

Lack of Data Transparency
The paper lacks sufficient detail on the data used for the case study, making reproducibility challenging.
Computational Complexity
The proposed method is computationally intensive, potentially limiting its practical applicability to large-scale problems.
Feedback Mechanism Dependence
The feedback mechanism's effectiveness relies on expert willingness to revise opinions, which might not always be realistic.
GCLE Complexity
The reliance on GCLEs adds complexity for experts and introduces potential subjectivity in interpretations.

Rating Explanation

The paper proposes a novel and comprehensive approach to bid evaluation in large-scale group decision-making contexts, addressing important issues like expert expertise levels and consensus. The use of PHFLTSs for information fusion and ELECTRE III for ranking is innovative. While the complexity of the approach and the reliance on expert feedback are limitations, the overall contribution is strong.

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Topic Hierarchy

Field: Engineering

File Information

Original Title: Bid Evaluation for Major Construction Projects Under Large-Scale Group Decision-Making Environment and Characterized Expertise Levels
Uploaded: July 14, 2025 at 10:40 AM
Privacy: Public