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Case Report

Performance evaluation of lean sustainable systems using adaptive neuro fuzzy inference system: a case study

, &
Pages 158-175 | Received 18 Nov 2014, Accepted 16 Jan 2017, Published online: 09 Feb 2017

Figures & data

Table 1. List of enablers and criteria for lean sustainability assessment from various research articles.

Figure 1. Adaptive neuro fuzzy inference system proposed structure.

Figure 1. Adaptive neuro fuzzy inference system proposed structure.

Table 2. Linguistic variables for inputs.

Table 3. Linguistic variables for output.

Table 4. Importance ratings for process enabler and its criteria.

Figure 2. Triangular membership function.

Figure 2. Triangular membership function.

Table 5. Inputs obtained from decision-makers pertaining to each enabler.

Figure 3. FIS editor with input parameters.

Figure 3. FIS editor with input parameters.

Figure 4. Membership functions for inputs.

Figure 4. Membership functions for inputs.

Figure 5. Membership functions for output.

Figure 5. Membership functions for output.

Figure 6. Plot obtained for training data.

Figure 6. Plot obtained for training data.

Figure 7. Obtained ANFIS structure.

Figure 7. Obtained ANFIS structure.

Figure 8. Training error plot.

Figure 8. Training error plot.

Figure 9. FIS plot for training data.

Figure 9. FIS plot for training data.

Figure 10. FIS plot for testing data.

Figure 10. FIS plot for testing data.

Figure 11. Generated rules and rule editor.

Figure 11. Generated rules and rule editor.

Figure 12. Rule viewer with input indices.

Figure 12. Rule viewer with input indices.

Figure 13. Generated surface: management and business as inputs.

Figure 13. Generated surface: management and business as inputs.

Table 6. Inputs obtained from decision-makers pertaining to each criterion.

Table 7. Scores obtained using different defuzzification methods.

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