Total ranking models by the genetic algorithm variable subset selection (GA-VSS) approach for environmental priority settings

Analytical and Bioanalytical Chemistry

Volumn 380, Issue 3 SPEC.ISS., 2004, Pages 430-444

  Pavan, M ^a   Mauri, A ^a   Todeschini, R ^a  

^a UNIVERSITY OF MILANO BICOCCA   (Italy)

Author keywords

GA VSS; Multicriteria decision making; PCB; Priority setting; Total order ranking models

Indexed keywords

DATA REDUCTION; ENVIRONMENTAL IMPACT; POLYCHLORINATED BIPHENYLS; REGRESSION ANALYSIS; SET THEORY;

MULTILINEAR REGRESSION (MLR); PHYSICOCHEMICAL PROPERTIES; TOTAL RANKING MODELS (TOR); VARIABLE SUBSET SELECTION (VSS);

GENETIC ALGORITHMS;

POLYCHLORINATED BIPHENYL;

CALCULATION; COMPARATIVE STUDY; DATA ANALYSIS; ENVIRONMENTAL FACTOR; GENETIC ALGORITHM; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; PHYSICAL CHEMISTRY; QUANTITATIVE STRUCTURE ACTIVITY RELATION; REGRESSION ANALYSIS; REVIEW; STATISTICAL ANALYSIS;

TOR;

EID: 9944232029     PISSN: 16182642     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00216-004-2762-3     Document Type: Review

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