These can not know the mathematical modeling algorithm commonly used as much Attribute Decision Model
Multiple Attribute Decision Model
Two parts
It consists of two parts:
- Acquisition decision information (including both attribute weights and attribute values )
- And for scheme decision information gathered through a certain preferred embodiment and sort
the weighted arithmetic mean (the WAA) operator
example
Note: Because the dimension property values may not be uniform , so be sure to attribute value normalization process , such as system or are very percentile score; but sometimes attribute value is difficult to unity within a range (such as production, sales amount, etc.), used at this time normalization method of treatment .
Is the same type of property values of different roles performed within, rather than a few character attribute is a formula normalized normalized case, instead of the output value of Company A's output on the five types of sales pollution levels are normalized, because they are the type of each property is different ah.
A variety of property types
And efficiency (the bigger the better type)
Cost type (the smaller the better type)
Other types (the above two more commonly used)
Specific code, courseware and method of use can go see my GitHub, if it helps, do not mean your little ⭐⭐ MatlabAlgorithm
