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Home›Decision-making›HF-ELECTRE I — Hesitant Fuzzy ELECTRE I (Chen-Xu-Xia 2015)
MCDMOutrankinghesitant

HF-ELECTRE I — Hesitant Fuzzy ELECTRE I (Chen-Xu-Xia 2015)

HF-ELECTRE-I (HF-ELECTRE I — Hesitant Fuzzy ELECTRE I (Chen-Xu-Xia 2015)) is a outranking multi-criteria decision-making (MCDM) method introduced by Chen, N. Xu, Z. S. Xia, M. M. in 2015. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.

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When to use it

HF-ELECTRE-I ranks alternatives based on performance scores. Higher score = better rank.

Strengths & limitations

Strengths
  • Follows a transparent, reproducible computational procedure that can be audited step by step.
  • Handles multiple criteria of differing scales and units within a single decision matrix.
Limitations
  • May exhibit rank reversal when alternatives are added to or removed from the set.

Sources

  1. Chen, N., Xu, Z. S., Xia, M. M. (2015). The ELECTRE I multi-criteria decision making method based on hesitant fuzzy sets. International Journal of Information Technology & Decision Making DOI: 10.1142/s0219622014500187 ↗

How to cite this page

ScholarGate. (2026, June 2). HF-ELECTRE I — Hesitant Fuzzy ELECTRE I (Chen-Xu-Xia 2015). ScholarGate. https://scholargate.app/en/decision-making/hf-electre-i

Similar methods

HF-ELECTRE-IIHF-QUALIFLEXHF-VIKORFUZZY-ELECTRE-IHFL-PROMETHEEMPF-ELECTRE-IHF-DFTHF-TOPSIS

Related reference concepts

Decision MakingDecision Support SystemsEvaluation CriteriaDecision Making SkillsCriteria for Decision-Making under Risk and UncertaintyWeighted Scores

Spotted an issue on this page? Report or suggest a fix →

ScholarGate — HF-ELECTRE-I (HF-ELECTRE I — Hesitant Fuzzy ELECTRE I (Chen-Xu-Xia 2015)). Retrieved 2026-07-21 from https://scholargate.app/en/decision-making/hf-electre-i · Dataset: https://doi.org/10.5281/zenodo.20539026
Quick facts
Originator
Chen, N. Xu, Z. S. Xia, M. M.
Subfamily
Outranking
Year
2015
Type
Concordance/discordance outranking for Hesitant Fuzzy Elements; constructs HF concordance and discordance indices based on score function and deviation degree; derives credibility matrix for choice selection.
Value Space
hesitant
Uncertainty
epistemic
Compensation
partial
Rank Reversal
Yes
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