Online Free TOPSIS Analysis

TOPSIS is one of the most widely used techniques of multi-criteria decision-making. m-alternatives are evaluated according to n-criteria in a TOPSIS technique. This technique is based on the principle that the selected alternative should have the least distance to the positive ideal and the most distance to the negative ideal.

Using our service is easy as an apple pie:

Enter your choices
Enter your indicators
Let our service do the TOPSIS for you

choices	Name
{{index+1}}

Choices	Name	Negative	Weight	Qualitative
{{index+1}}

	{{indicator.name}}
{{choice.name}}

Change logs

2018/06/22

You can now delete rows from indicators and choices matrix.
(Experimental) You are now be able to review calulation result steps.

2018/06/21

You can send your feedbacks after every calculation result.

2018/06/15

You can Analyze with ELECTRE method.

2018/09/19

You can Analyze with Linear Assignment method.

2018/09/28

You can Analyze with simple-additive-weighting (SAW) method.

Feedback

Thanks for giving us a feedback. We try hard to bring the best things you need. Don't hesitate then.

Name:

Email:

How much Decison-Radar Useful for you:

Your lovely feedback or opinions:

TOPSIS ANALYSIS

Loading ...

Best Choice is {{sortedChoices[0]}}

{{sortedChoices[index]}} with score {{scoredChoices[index]}}

TOPSIS ANALYSIS

Loading ...

Normalized Decision Matrix is {{V}}

Best Answer Vector is {{BV}}

Worst Answer Vector is {{WV}}

Choices Distance From Best Vector is {{DB}}

Choices Distance From Worst Vector is {{DW}}

Closeness Vector of Each Choices {{CL}}

ELECTRE ANALYSIS

Loading ...

{{electreChoice[0]}} better than {{electreChoice[1]}}

ELECTRE ANALYSIS

Loading ...

Normalized Desicion Matrix is {{V}}

Concordance Matrix is {{concordanceMatrix}}

Discordance Desicion Matrix is {{discordanceMatrix}}

Concordance Mean Desicion Matrix is {{concordanceMatrixMean}}

Discordance Mean Matrix is {{discordanceMatrixMean}}

Dominant Concordance Matrix is {{concordanceMatrixDominant}}

Dominant Discordance Matrix is {{discordanceMatrixDominant}}

Linear Assignment ANALYSIS

Loading ...

rank {{index+1}}: {{linearAssignment}}

linear Assignment ANALYSIS

Loading ...

pi matrix Matrix is {{pi}}

SAW ANALYSIS

Loading ...

rank {{index+1}}: {{SAW}}

SAW ANALYSIS

Loading ...

SAW Normalized Decision Matrix is {{sawNormalizedDecisionMatrix}}

SAW Score Matrix is {{sawScore}}

Enter your choices up to 7.

Enter your indicators up to 7

Set Choices

Enter your choices up to 7.

Set Indicators

Enter your indicators up to 7

Set Decision Matrix