Difference between revisions of "Grey relational analysis"
Karl Jones (Talk | contribs) (Created page with "''Grey relational analysis'' uses a specific concept of information. == Black and white == It defines situations with no information as black, and those with perfect i...") |
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* [[Analysis]] | * [[Analysis]] | ||
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* [[Information]] | * [[Information]] | ||
* [[Information quality]] | * [[Information quality]] | ||
Latest revision as of 05:10, 12 April 2016
Grey relational analysis uses a specific concept of information.
Black and white
It defines situations with no information as black, and those with perfect information as white.
However, neither of these idealized situations ever occurs in real world problems.
Grey
In fact, situations between these extremes are described as being grey, hazy or fuzzy.
Therefore, a grey system means that a system in which part of information is known and part of information is unknown.
With this definition, information quantity and information quality form a continuum from a total lack of information to complete information – from black through grey to white.
Since uncertainty always exists, one is always somewhere in the middle, somewhere between the extremes, somewhere in the grey area.
Grey analysis then comes to a clear set of statements about system solutions.
At one extreme, no solution can be defined for a system with no information. At the other extreme, a system with perfect information has a unique solution.
In the middle, grey systems will give a variety of available solutions.
Grey analysis does not attempt to find the best solution, but does provide techniques for determining a good solution, an appropriate solution for real world problems.
See also
- Analysis
- Extensive-form game
- Information
- Information quality
- Information quantity
- Perfect information
