ScholarGate
Асистент

Сравнение на методи

Прегледайте избраните методи един до друг; редовете с разлики са откроени.

Модели за локация-разпределение×Техника за подреждане на предпочитанията чрез сходство с идеалното решение×
ОбластПространствен анализВземане на решения
СемействоProcess / pipelineMCDM
Година на възникване19631981
СъздателLeon Cooper; S. L. HakimiHwang, C. L., Yoon, K.
ТипSpatial facility-location optimizationDistance-based (compromise)
Основополагащ източникCooper, L. (1963). Location-allocation problems. Operations Research, 11(3), 331–343. DOI ↗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 ↗
Други названияfacility location, p-median problem, maximal covering location problem, yer-tahsis modelleri
Свързани48
РезюмеLocation-allocation models decide where to place a set of facilities and simultaneously assign demand points to them so as to optimize an objective such as total travel cost, worst-case distance, or population covered. Rooted in the operations-research work of Cooper (1963) and Hakimi (1964) and central to network GIS, they answer questions like where to site warehouses, hospitals, fire stations, or schools to best serve a spatially distributed population.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.
ScholarGateНабор от данни
  1. v1
  2. 2 Източници
  3. PUBLISHED
  1. v1
  2. 1 Източници
  3. PUBLISHED

Към търсенето Изтегляне на слайдове

ScholarGateСравнение на методи: Location-Allocation · TOPSIS. Извлечено на 2026-06-19 от https://scholargate.app/bg/compare