An intelligent system employing an enhanced fuzzy c-means clustering model: Application in the case of forest fires

Computers and Electronics in Agriculture

Volumn 70, Issue 2, 2010, Pages 276-284

  Iliadis, L S ^a   Vangeloudh, M ^a   Spartalis, S ^a  

^a DEMOCRITUS UNIVERSITY OF THRACE   (Greece)

Author keywords

Extended fuzzy c means clustering; Forest fire risk clustering; Forest fires; Innovative fuzzy termination criterion

Indexed keywords

DATA POINTS; DEGREE OF MEMBERSHIP; EXTENDED MODEL; FOREST DEPARTMENT; FOREST FIRES; FORESTED AREA; FUZZY C MEAN; FUZZY C MEANS CLUSTERING; FUZZY C-MEANS CLUSTERING ALGORITHMS; FUZZY C-MEANS MODELS; HUMAN LIKE; INNOVATIVE MODELS; RESEARCH EFFORTS; RESEARCH PAPERS; RISK FACTORS; SOFTWARE SYSTEMS; TERMINATION CRITERIA;

COMPUTER PROGRAMMING; COMPUTER SOFTWARE; DEFORESTATION; FIRES; FUZZY CLUSTERING; FUZZY SYSTEMS; INTELLIGENT SYSTEMS;

CLUSTERING ALGORITHMS;

ALGORITHM; CLUSTER ANALYSIS; FOREST COVER; FOREST FIRE; FUZZY MATHEMATICS; RISK FACTOR; SOFTWARE;

ARTIFICIAL INTELLIGENCE; COMPUTER PROGRAMING; COMPUTER PROGRAMS; DATA PROCESSING; DEFORESTATION; FOREST FIRES; FUZZY LOGIC; MATHEMATICAL MODELS;

EID: 74149091831     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2009.07.008     Document Type: Article

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