ScholarGate
Ассистент

Сравнение методов

Просматривайте выбранные методы рядом; строки с различиями подсвечены.

PROXIMITY-WLC×Метод энтропийного взвешивания Шеннона×
ОбластьПринятие решенийПринятие решений
СемействоMCDMMCDM
Год появления20061948
Автор методаRinner, C.; Heppleston, A.Shannon, C. E.
ТипSpatially heterogeneous additive utility — criterion weights vary per alternative as a function of proximity to a reference locationInformation-theoretic objective weighting (Shannon entropy)
Основополагающий источникRinner, C., Heppleston, A. (2006). The spatial dimensions of multi-criteria evaluation — case study of a home buyer's spatial decision support system. Lecture Notes in Computer Science (GIScience 2006) DOI ↗Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal DOI ↗
Другие названия
Связанные88
СводкаPROXIMITY-WLC (Proximity-Adjusted WLC — spatially explicit weighted linear combination) is a ranking multi-criteria decision-making (MCDM) method introduced by Rinner, C.; Heppleston, A. in 2006. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.ENTROPY (Shannon Entropy Weighting Method) is a weight objective multi-criteria decision-making (MCDM) method introduced by Shannon, C. E. in 1948. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
ScholarGateНабор данных
  1. v1
  2. 1 Источники
  3. PUBLISHED
  1. v1
  2. 1 Источники
  3. PUBLISHED

Перейти к поиску Скачать слайды

ScholarGateСравнение методов: PROXIMITY-WLC · ENTROPY. Получено 2026-06-17 из https://scholargate.app/ru/compare