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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Sources
- 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 ↗
Related methods
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