MCDMRankingHesitant fuzzy linguistic
Hesitant Fuzzy Linguistic CODAS (HFLTS-envelope, Combinative Distance-based Assessment)
HFL-CODAS (Hesitant Fuzzy Linguistic CODAS (HFLTS-envelope, Combinative Distance-based Assessment)) is a ranking multi-criteria decision-making (MCDM) method introduced by Yalçın, N., Pehlivan, N.Y. in 2019. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
Tools & resources
Learn & explore
Read the full method
Members only
Sign inSign in with a free account to read this section.
When to use it
HFL-CODAS 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
- Yalçın, N., Pehlivan, N.Y. (2019). Application of the Fuzzy CODAS Method Based on Fuzzy Envelopes for Hesitant Fuzzy Linguistic Term Sets: A Case Study on a Personnel Selection Problem. Symmetry (MDPI) DOI: 10.3390/sym11040493 ↗
How to cite this page
ScholarGate. (2026, June 2). Hesitant Fuzzy Linguistic CODAS (HFLTS-envelope, Combinative Distance-based Assessment). ScholarGate. https://scholargate.app/en/decision-making/hfl-codas