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MCDMNormalizationcrisp

Usawazishaji wa Kiwango cha Juu cha Laini — kugawanya kwa kiwango cha juu zaidi cha safu (faida) au kiwango cha chini zaidi cha safu juu ya thamani (gharama)

USawazishaji wa Kiwango cha Juu cha Laini (LINEAR-MAX-NORMALIZATION — kugawanya kwa kiwango cha juu zaidi cha safu (faida) au kiwango cha chini zaidi cha safu juu ya thamani (gharama)) ni mbinu ya usawazishaji katika kufanya maamuzi yenye vigezo vingi (MCDM) iliyoanzishwa na Fishburn, P. C. mwaka 1967. Huleta matriki ya maamuzi ya njia mbadala zilizo na alama kwa vigezo vingi katika matokeo yaliyopangwa na yanayoweza kurudiwa.

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Method map

The neighbourhood of related methods — select a node to explore.

Vyanzo

  1. Fishburn, P. C. (1967). Additive Utilities with Incomplete Product Sets: Application to Priorities and Assignments. Operations Research DOI: 10.1287/opre.15.3.537

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 2). Linear Max Normalization — division by column maximum (benefit) or column minimum over value (cost). ScholarGate. https://scholargate.app/sw/decision-making/linear-max-normalization

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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ScholarGateLINEAR-MAX-NORMALIZATION (Linear Max Normalization — division by column maximum (benefit) or column minimum over value (cost)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/decision-making/linear-max-normalization · Seti ya data: https://doi.org/10.5281/zenodo.20539026