ArcGIS Desktop

  • ArcGIS Pro
  • ArcMap

  • My Profile
  • Ayuda
  • Sign Out
ArcGIS Desktop

ArcGIS Online

La plataforma de representación cartográfica para tu organización

ArcGIS Desktop

Un completo SIG profesional

ArcGIS Enterprise

SIG en tu empresa

ArcGIS Developers

Herramientas para crear aplicaciones basadas en la ubicación

ArcGIS Solutions

Plantillas de aplicaciones y mapas gratuitas para tu sector

ArcGIS Marketplace

Obtén aplicaciones y datos para tu organización.

  • Documentación
  • Soporte
Esri
  • Iniciar sesión
user
  • Mi perfil
  • Cerrar sesión

ArcMap

  • Inicio
  • Introducción
  • Cartografiar
  • Analizar
  • Administrar datos
  • Herramientas
  • Extensiones

FuzzyMSLarge

Disponible con una licencia de Spatial Analyst.

  • Resumen
  • Debate
  • Sintaxis
  • Propiedades
  • Muestra de código

Resumen

Defines a fuzzy membership through a function based on the mean and standard deviation, with the larger values having a membership closer to 1.

Debate

The tool that uses the FuzzyMSLarge object: Fuzzy Membership.

There are two equations for the MS Large function, depending on the product of a * m.

  • If x > a * m:

    u(x) = 1 - (b * s) / (x - (a * m) + (b * s))

    • where:

      m = the mean

      s = the standard deviation

      a = a multiplier of the mean

      b = a multiplier of the standard deviation

      The a and b multipliers are input parameters.

  • If x <= a * m:

    u(x) = 0

The MSLarge function is useful when the large input values have a higher membership.

The input values can be either integer or floating point positive values.

The result can be similar to the Large fuzzy membership function, depending on how the multipliers of the mean and standard deviation are defined.

Sintaxis

 FuzzyMSLarge (meanMultiplier, STDMultiplier)
ParámetroExplicaciónTipo de datos
meanMultiplier

The multiplier for the mean of the input values in the MSLarge function equation.

(El valor predeterminado es 1)

Double
STDMultiplier

The multiplier for the standard deviation of the input values in the MSLarge function equation.

(El valor predeterminado es 1)

Double

Propiedades

PropiedadExplicaciónTipo de datos
meanMultiplier
(Lectura y escritura)

The multiplier for the mean of the input values in the membership function equation.

Double
STDMultiplier
(Lectura y escritura)

The multiplier for the standard deviation of the input values in the membership function equation.

Double

Muestra de código

FuzzyMSLarge example 1 (Python window)

Demonstrates how to create a FuzzyMSLarge class and use it in the FuzzyMembership tool within the Python window.

import arcpy
from arcpy.sa import *
from arcpy import env
env.workspace = "c:/sapyexamples/data"
outFzyMember = FuzzyMembership("as_std", FuzzyMSLarge(1, 1.8))
outFzyMember.save("c:/sapyexamples/fzymslrg")
FuzzyMSLarge example 2 (stand-alone script)

Performs a FuzzyMembership using the FuzzyMSLarge class.

# Name: FuzzyMSLarge_Ex_02.py
# Description: Scales input raster data into values ranging from zero to one
#     indicating the strength of a membership in a set. 
# Requirements: Spatial Analyst Extension

# Import system modules
import arcpy
from arcpy import env
from arcpy.sa import *

# Set environment settings
env.workspace = "C:/sapyexamples/data"

# Set local variables
inRaster = "as_std"

# Create the FuzzyMSLarge algorithm object
meanMultiply = 1.5
stdMultiply = 2.2
myFuzzyAlgorithm = FuzzyMSLarge(meanMultiply, stdMultiply)

# Check out the ArcGIS Spatial Analyst extension license
arcpy.CheckOutExtension("Spatial")

# Execute FuzzyMembership
outFuzzyMember = FuzzyMembership(inRaster, myFuzzyAlgorithm)

# Save the output
outFuzzyMember.save("c:/sapyexamples/fzymslrg2")

Temas relacionados

  • An overview of Spatial Analyst classes
  • An overview of fuzzy classes
  • Aplicar lógica difusa a rásteres de superposición
  • Cómo funciona la Pertenencia difusa
  • Cómo funciona la Superposición difusa

ArcGIS Desktop

  • Inicio
  • Documentación
  • Soporte

ArcGIS

  • ArcGIS Online
  • ArcGIS Desktop
  • ArcGIS Enterprise
  • ArcGIS
  • ArcGIS Developer
  • ArcGIS Solutions
  • ArcGIS Marketplace

Acerca de Esri

  • Quiénes somos
  • Empleo
  • Blog de Esri
  • Conferencia de usuarios
  • Cumbre de desarrolladores
Esri
Díganos su opinión.
Copyright © 2021 Esri. | Privacidad | Legal