Provider: | PUT |
---|---|
Version: | 1.0.0 |
Computes group class assignment for given data using FlowSortGDSS method.
(For outputs, see below)
Criteria to consider.
Alternatives to consider.
Definitions of categories.
The performances of profiles for decision maker 1.
The preference matrix computed for profiles and alternatives given by decision maker 1.
Normalised flows of given alternatives for decision maker 1.
Definitions of boundary profiles for decision maker 1, which should be used for classes (categories) representation.
The performances of profiles for decision maker 2.
The preference matrix computed for profiles and alternatives given by decision maker 2.
Normalised flows of given alternatives for decision maker 2.
Definitions of boundary profiles for decision maker 2, which should be used for classes (categories) representation.
Optional: yes, enabled by default
The performances of profiles for decision maker 3.
Optional: yes, enabled by default
The preference matrix computed for profiles and alternatives given by decision maker 3.
Optional: yes, enabled by default
Normalised flows of given alternatives for decision maker 3.
Optional: yes, enabled by default
Definitions of boundary profiles for decision maker 3, which should be used for classes (categories) representation.
Optional: yes, enabled by default
The performances of profiles for decision maker 4.
Optional: yes, enabled by default
The preference matrix computed for profiles and alternatives given by decision maker 4.
Optional: yes, enabled by default
Normalised flows of given alternatives for decision maker 4.
Optional: yes, enabled by default
Definitions of boundary profiles for decision maker 4, which should be used for classes (categories) representation.
Optional: yes, enabled by default
The performances of profiles for decision maker 5.
Optional: yes, enabled by default
The preference matrix computed for profiles and alternatives given by decision maker 5.
Optional: yes, enabled by default
Normalised flows of given alternatives for decision maker 5.
Optional: yes, enabled by default
Definitions of boundary profiles for decision maker 5, which should be used for classes (categories) representation.
Optional: yes, enabled by default
The performances of profiles for decision maker 6.
Optional: yes, enabled by default
The preference matrix computed for profiles and alternatives given by decision maker 6.
Optional: yes, enabled by default
Normalised flows of given alternatives for decision maker 6.
Optional: yes, enabled by default
Definitions of boundary profiles for decision maker 6, which should be used for classes (categories) representation.
Optional: yes, enabled by default
The performances of profiles for decision maker 7.
Optional: yes, enabled by default
The preference matrix computed for profiles and alternatives given by decision maker 7.
Optional: yes, enabled by default
Normalised flows of given alternatives for decision maker 7.
Optional: yes, enabled by default
Definitions of boundary profiles for decision maker 7, which should be used for classes (categories) representation.
Optional: yes, enabled by default
The performances of profiles for decision maker 8.
Optional: yes, enabled by default
The preference matrix computed for profiles and alternatives given by decision maker 8.
Optional: yes, enabled by default
Normalised flows of given alternatives for decision maker 8.
Optional: yes, enabled by default
Definitions of boundary profiles for decision maker 8, which should be used for classes (categories) representation.
Optional: yes, enabled by default
The performances of profiles for decision maker 9.
Optional: yes, enabled by default
The preference matrix computed for profiles and alternatives given by decision maker 9.
Optional: yes, enabled by default
Normalised flows of given alternatives for decision maker 9.
Optional: yes, enabled by default
Definitions of boundary profiles for decision maker 9, which should be used for classes (categories) representation.
Optional: yes, enabled by default
The performances of profiles for decision maker 10.
Optional: yes, enabled by default
The preference matrix computed for profiles and alternatives given by decision maker 10.
Optional: yes, enabled by default
Normalised flows of given alternatives for decision maker 10.
Optional: yes, enabled by default
Definitions of boundary profiles for decision maker 10, which should be used for classes (categories) representation.
Scales of considered criteria.
Normalised flows of given profiles counted for all decision makers together.
Scales of considered criteria.
Normalised flows of given profiles counted for all decision makers together.
Marks of categories (higher mark means better category). Each category need to have unique mark from 1 to C, where C is a number of categories.
A set of parameters provided to tune up the module’s operation.
Parameter values can be defined via the GUI or the XMCDA file, by default via GUI.
Name: comparison with profiles
Information if we are using central or boundary profiles.
Name: assign to a better class
Information if alternative will be assigned to a better class when the assignment is not clear. Works only if cutPoint does unclear output for alternative.
Name: decision maker 1 weight
Weight of decision maker 1.
Name: decision maker 2 weight:
Weight of decision maker 2.
Name: decision maker 3 weight:
Weight of decision maker 3.
Name: decision maker 4 weight
Weight of decision maker 4.
Name: decision maker 5 weight
Weight of decision maker 5.
Name: decision maker 6 weight
Weight of decision maker 6.
Name: decision maker 7 weight
Weight of decision maker 7.
Name: decision maker 8 weight
Weight of decision maker 8.
Name: decision maker 9 weight
Weight of decision maker 9.
Name: decision maker 10 weight
Weight of decision maker 10.
Tag: programParameters
Code:
<programParameters>
<parameter id="comparisonWithProfiles">
<values>
<value>
<label>%1</label>
</value>
</values>
</parameter>
<parameter id="assignToABetterClass">
<values>
<value>
<boolean>%2</boolean>
</value>
</values>
</parameter>
<parameter id="decisionMaker1">
<values>
<value>
<real>%3</real>
</value>
</values>
</parameter>
<parameter id="decisionMaker2">
<values>
<value>
<real>%4</real>
</value>
</values>
</parameter>
<parameter id="decisionMaker3">
<values>
<value>
<real>%5</real>
</value>
</values>
</parameter>
<parameter id="decisionMaker4">
<values>
<value>
<real>%6</real>
</value>
</values>
</parameter>
<parameter id="decisionMaker5">
<values>
<value>
<real>%7</real>
</value>
</values>
</parameter>
<parameter id="decisionMaker6">
<values>
<value>
<real>%8</real>
</value>
</values>
</parameter>
<parameter id="decisionMaker7">
<values>
<value>
<real>%9</real>
</value>
</values>
</parameter>
<parameter id="decisionMaker8">
<values>
<value>
<real>%10</real>
</value>
</values>
</parameter>
<parameter id="decisionMaker9">
<values>
<value>
<real>%11</real>
</value>
</values>
</parameter>
<parameter id="decisionMaker10">
<values>
<value>
<real>%12</real>
</value>
</values>
</parameter>
</programParameters>
Assignments made in a first step of FlowSortGDSS process. They shows for which alternatives decision makers were not able to make an unanimous assignment.
Final assignments made in a FlowSortGDSS process.
Messages or errors generated by this module.
For further technical details on the web service underlying this program, have a look at its documentation here.