A Pictorial Guide for the  Fuzzy topsis Online Software

Working with fuzzy TOPSIS software is very simple:  (1) Define the number of alternatives and the number of criteria   (2) Select /create the fuzzy scale   

(3) Enter the decision matrix data   (4) Get the full output

First of all, enter your project name.

For example, in this project, the fuzzy TOPSIS method is used to select the best college.

Here, you can define the number of alternatives and the number of criteria.

Criteria:

To select the desired name for the criterion, click on the criterion name and enter your own desired name that is short to write.

Enter each criterion in the column of the table, and then click on the button “Create Table of criteria”. This will create a table of criterion specifications.

In the criterion table, you can enter the name for criterion, criterion type and the fuzzy weight of the criterion. The criterion type can be either positive or negative, which must be denoted by the plus sign (+) or the minus sign (-) in the criterion table. The fuzzy weights  can be denoted as l, m, u, which represent the lower, middle, and upper values, respectively.

 Note that if the weight of your project is a crisp value ,  l, m, and u can be defined by a number. For example, if the weight of criterion is 0.3, select (0.3, 0.3, 0.3) in the software.

Alternatives:

If you want to choose the desired name for the alternative in name column, enter your desired short name.

Here, you can select or create your own fuzzy scale from a list of default fuzzy scales.

You can select your own default fuzzy scale from a drop-down list.

If you tend to create your own fuzzy scale, click “Create Scale” and create your own fuzzy scale in the table.

To create a new scale, you need to enter your own linguistic terms and fuzzy triangular numbers. The triangular fuzzy numbers can be characterized as L, M, U, which represent the lower, middle, and upper values, respectively.

As shown on the picture, you can easily edit a scale

Here, you can fill the decision matrix based on the number of criteria and the number of alternatives. Criteria are placed in columns and the alternatives are placed in rows.

Note that in the decision matrix, the codes that appear in the scale table need to enter (A code represents a verbal expression, for example, code 5 implies the high importance)

To fill the decision matrix, you can simply click each cell of the matrix and enter your own scale code.

It is recommended that you enter codes in Excel in order to avoid wasting time and then copy and paste the matrix data from Excel at once.

As you can see on the picture above, experts include the following:

Add Expert: If there are several experts, you can increase the number of experts by clicking “Add Expert”. The previous expert will be automatically saved by clicking on the button “Add Expert” and the new expert will be added.

Delete Expert: The current expert will be deleted by clicking on the button “Delete Expert”.

Save Expert: The data of current expert will be saved by clicking on the button “Save Expert”.

The experts’ Status: The experts’ Status will be displayed by clicking on the button “The experts Status”

Mean: The fuzzy average of all the experts will be observed by clicking on the button “Mean”.

As you can see in the picture below, the experts’ status include the following:

If all the expert data are completed and saved, the expert’s status is “completed”.

If all the expert data are not completed, the expert’s   status is “incompleted”.

If an expert has been deleted, the expert’s status is “deleted” and you can retrieve the data.

To observe the mean, the data of all current experts must be completed.

You can get the full output of the fuzzy TOPSIS method. Here, there are all the steps of the fuzzy TOPSIS method along with the related tables or formulas.

 Here, you can download the Word report file, Excel file and input data.