Evaluating Region Inference Methods by Using Fuzzy Spatial Inference Models-Reference-Cited by-同舟云学术

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Evaluating Region Inference Methods by Using Fuzzy Spatial Inference Models

Published:2022-07-18 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
language:
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Author:

Carniel Anderson Chaves¹,Galdino Felippe²,Schneider Markus³

Affiliation:

1. Federal University of São Carlos,Department of Computer Science,SP,Brazil,13565-905

2. Federal University of Rio de Janeiro,Department of Meteorology,Rio de Janeiro, RJ,Brazil,21941-901

3. University of Florida,Department of Computer & Information Science & Engineering,Gainesville,FL,USA,32611

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9882530/9882539/09882658.pdf?arnumber=9882658

Reference15 articles.

1. Handling Fuzzy Spatial Data in R Using the fsr Package

2. Outline of a New Approach to the Analysis of Complex Systems and Decision Processes

3. Spatial Plateau Algebra: An Executable Type System for Fuzzy Spatial Data Types

4. Genetic algorithms: a survey

5. Particle swarm optimization

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Intuitionistic Fuzzy Sets for Spatial and Temporal Data Intervals;Information;2024-04-20

2. fsr: An R package for fuzzy spatial data handling;Transactions in GIS;2023-05

3. fsr: Handling Fuzzy Spatial Data;CRAN: Contributed Packages;2021-09-16

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