CFAR-m Process PDF Print E-mail

CFAR-m operates as a three stage process:

Step 1:

  • It enables, through a learning process, the positive and negative feedback between the variables, a self-organization of individuals into homogeneous subsets (compared to similar phenomena being studied).

Step 2:

  • It determines the appropriate weights for each Item (items are quoted as “exemple” on the preliminary stage picture hereunder.

Step 3:

  • These weights are then applied to the original data to calculate the composite indicator and establish the overall standings.

 
 
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Applications

Research Marketing: (Loyalty Index, Churn Rate, Scoring, etc.)

Environment: (Interaction Analysis, Weighting Calculations, etc.)

Finance: (SRI, Quantitative Trading, Quantitative Asset Management, Structured Asset Management, ETF & Indexing Investments, Index Products, Quantitative Research etc.)

Industry: (Diagnostics, Risk Analysis, ISO 14.XXX Weightings etc.)

Health: (Epidemiology, Disease and Treatment Characteristics)

Risk Management and others…

Smarter Grids for Energy, Planet, City and Systems