Amin Rahman

potential reasons:

1. Memory Constraints:

- FSQCA is a memory-intensive software, especially when dealing with large datasets or complex models. If the memory requirements of your analysis exceed the available system memory, the software may crash or close unexpectedly.

- Try closing any other running applications to free up memory, and ensure that your system has sufficient RAM to handle the analysis.

2. Data Complexity:

- The "calibrate(x,n1,n2,n3)" function is used to calibrate membership scores for fuzzy sets. Depending on the complexity of your data and the number of fuzzy sets being calibrated, the computation may become too resource-intensive for the software to handle.

- Try simplifying your analysis by reducing the number of variables or calibrated sets, or by breaking down the analysis into smaller, more manageable steps.

3. Software Compatibility:

- Ensure that you are using the correct version of FSQCA that is compatible with your operating system and any other software dependencies.

- Check the FSQCA documentation or reach out to the software developers for any known issues or compatibility information.

4. Potential Bugs or Errors:

- The automatic closing of the software may be due to a bug or error in the FSQCA program itself.

- Check the FSQCA documentation or user forums for any known issues or workarounds related to the "calibrate(x,n1,n2,n3)" function.

5. Data Preparation:

- Ensure that your input data is properly formatted and does not contain any errors or inconsistencies that could be causing issues during the computation.

- Try running the analysis with a smaller, simpler dataset to isolate the problem and identify any potential data-related issues.

Hope it helps; partial credit AI