ScholarGate
Assistent

Võrdle meetodeid

Vaata valitud meetodeid kõrvuti; erinevad read on esile tõstetud.

Min-Max Normalization×Lihtne liitkaalutlus×
ValdkondOtsustamineOtsustamine
PerekondMCDMMCDM
Tekkeaasta19811967
LoojaHwang, C. L., Yoon, K.Fishburn, P. C.
TüüpNormalization (linear, range-scaling)Additive utility (linear)
AlgallikasHwang, C. L., Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications. Lecture Notes in Economics and Mathematical Systems, Vol. 186, Springer-Verlag DOI ↗Fishburn, P. C. (1967). Additive utilities with incomplete product sets: Application to priorities and assignments. Operations Research DOI ↗
Rööpnimetused
Seotud88
KokkuvõteMIN-MAX-NORMALIZATION (Min-Max Normalization — linear rescaling of each criterion column to [0, 1]) is a normalization 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.SAW (Simple Additive Weighting) is a ranking multi-criteria decision-making (MCDM) method introduced by Fishburn, P. C. in 1967. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
ScholarGateAndmestik
  1. v1
  2. 1 Allikad
  3. PUBLISHED
  1. v1
  2. 1 Allikad
  3. PUBLISHED

Mine otsingusse Laadi slaidid alla

ScholarGateVõrdle meetodeid: MIN-MAX-NORMALIZATION · SAW. Loetud 2026-06-15 aadressilt https://scholargate.app/et/compare