A Framework for Reputation Aware Uninorm-driven Consensus Algorithms for Blockchain Networks
The operation of blockchain is governed by consensus algorithms (CA). Several consensus mechanisms require significant computational power, while others necessitate high amounts of stakes to select the participant to validate and verify the transactions in the block, leading to centralisation of power and participant exclusion. This paper proposes a novel methodology to address these issues in reputation-based consensus algorithms by studying the reputation behaviour of the validator using intuitionistic fuzzy sets (IFSs) and uninorm aggregation operations (UAOs). Our approach uses IFSs to express the "reputation" because the reputation values in a consensus algorithm eventually imply unc...
| Authors | Bruno Ramos-Cruz, Javier Andreu-Perez, David Richerby et al. |
|---|---|
| Primary category | cs.DC |
| Published | 22 July 2026 |
| Last updated at source | 22 July 2026 |
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