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

FuzzyLarge

Disponible con una licencia de Spatial Analyst.

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

Resumen

Defines a fuzzy membership function where the larger input values have membership closer to 1. The function is defined by a user-specified midpoint (which is assigned a membership of 0.5) with a defined spread.

Debate

The tool that uses the FuzzyLarge object: FuzzyMembership.

The equation for the fuzzy Large function is:

Large fuzzy function equation

The inputs to the equation are f1, the spread, and f2, the midpoint. Increasing the spread causes the fuzzy membership curve to become steeper.

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

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

Fuzzy Large graph
Variations of the Fuzzy Large membership function.

Sintaxis

 FuzzyLarge (midpoint, spread)
ParámetroExplicaciónTipo de datos
midpoint

The user-defined value with a fuzzy membership of 0.5.

The default is the midpoint of the range of values of the input raster.

Double
spread

Defines the spread of the Large function. The spread generally ranges from 1 to 10, with the larger the value results in a steeper distribution from the midpoint.

(El valor predeterminado es 5)

Double

Propiedades

PropiedadExplicaciónTipo de datos
midpoint
(Lectura y escritura)

The user-defined value defining the midpoint for the membership function.

Double
spread
(Lectura y escritura)

Defines the spread of the membership function. The larger the value results in a steeper distribution from the midpoint.

Double

Muestra de código

FuzzyLarge example 1 (Python window)

Demonstrates how to create a FuzzyLarge 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", FuzzyLarge(12, 5))
outFzyMember.save("c:/sapyexamples/fzymemb")
FuzzyLarge example 2 (stand-alone script)

Performs a FuzzyMembership using the FuzzyLarge class.

# Name: FuzzyLarge_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 FuzzyLarge algorithm object
midpoint = 15
spread = 5
myFuzzyAlgorithm = FuzzyLarge(midpoint, spread)

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

# Execute FuzzyMembership
outFuzzyMember = FuzzyMembership(inRaster, myFuzzyAlgorithm)

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

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