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Home›Decision-making›Technique for Order of Preference by Similarity to Ideal Solution
MCDMRankingcrisp

Technique for Order of Preference by Similarity to Ideal Solution

TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Hwang, C. L., Yoon, K. in 1981. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.

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TOPSIS
AHPANPBWMBWM-BAYESIANCCSDCILOSCIMASCRITICAVERAGE-RANKINGBRAUERS-DOMINANCE

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When to use it

C* ∈ [0,1]. Higher C* means the alternative is closer (in weighted Euclidean distance) to the positive-ideal A⁺ and farther from the anti-ideal A⁻. Rank alternatives in descending C* order.

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.
  • Assumes full compensation — a strong score on one criterion can offset a weak score on another.

Sources

  1. Hwang, C. L., Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications — A State-of-the-Art Survey. Lecture Notes in Economics and Mathematical Systems, Vol. 186, Springer-Verlag DOI: 10.1007/978-3-642-48318-9 ↗

How to cite this page

ScholarGate. (2026, June 2). Technique for Order of Preference by Similarity to Ideal Solution. ScholarGate. https://scholargate.app/en/decision-making/topsis

Related methods

AHPANPBWMBWM-BAYESIANCCSDCILOSCIMASCRITIC

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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Referenced by

AVERAGE-RANKINGBRAUERS-DOMINANCECONDORCETCOOK-SEIFORDData-Driven MCDADEFUZZ-ALPHA-CUTDEFUZZ-BISECTORDEFUZZ-CENTROIDDEFUZZ-CENTROID-GAUSSIANDEFUZZ-MOMDEFUZZ-SCORE-IFNDEFUZZ-TYPE-REDUCTIONDIST-EUCLIDEANDODGSONF-LMAWFUCOM-FFUZZY-BWMFUZZY-TOPSISGIS-MCDAKEMIRAMaclaurin Symmetric Mean OperatorMEDIAN-RANKINGMIN-MAX-NORMALIZATIONNANSONNORM-VECTORPIF-TOPSISPROMETHEE-GAIAPSISAPEVO-MSECASNHF-TOPSISSTOCHASTIC-UTAZ-AHPZ-BWM

Similar methods

FUZZY-TOPSISBF-TOPSISIF-TOPSISQR-TOPSISIV-TOPSISDIST-EUCLIDEANTOPSIS-SORTROUGH-TOPSIS

Related reference concepts

Decision Support SystemsDecision MakingMultidimensional ScalingWeighted ScoresEvaluation CriteriaPrincipal Component Analysis

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

ScholarGate — TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution). Retrieved 2026-07-20 from https://scholargate.app/en/decision-making/topsis · Dataset: https://doi.org/10.5281/zenodo.20539026
Quick facts
Originator
Hwang, C. L., Yoon, K.
Subfamily
Ranking
Year
1981
Type
Distance-based (compromise)
Value Space
crisp
Uncertainty
None
Compensation
full
Rank Reversal
Yes
Related methods
AHPANPBWMBWM-BAYESIANCCSDCILOSCIMASCRITIC
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