4. Conclusions

results obtained through the graph theory approach can easily be modeled through the collaborative practice through artificial neural network methodology which is inspired from the AI. The artificial neural network (ANN) can be defined as an interconnected group of nodes, similar to the vast network of neurons in a human brain. Duan and Yeh [27] have practiced and explored artificial intelligence-based decision-making. They have implemented the said approach to make the decision for accounting choice evaluation and selection through an intelligent system-based methodology. The basic illustration of an ANN model has been represented in

Computer Architecture in Industrial, Biomechanical and Biomedical Engineering

Safari et al. [28] have explained out that proper equipment selection is a very important activity for manufacturing systems due to the fact that improper equipment selection can negatively affect the overall performance and productivity of a manufacturing system. They have further implemented a two-step fuzzy-analytical hierarchy process (AHP) and graph theory matrix approach (GTMA) methodology,

They have presented a real-life study to reflect the applicability and performance of the proposed methodology. It was concluded that using linguistic variables, the evaluation process can become more realistic. The usage of fuzzy-AHP weights in GTMA has made the application more realistic and reliable. The proposed model was only implemented on an equipment selection problem in the company. They have further suggested the possibilities to employ other

3.7 Selection of appropriate equipment for industrial purpose

i.e., GTMA uses fuzzy-AHP result weights as input weights.

Figure 4.

Figure 4.

128

Illustration of an artificial neural network (ANN) model.

The application and the capability of artificial intelligence-inspired fuzzy logicbased decision-making have been discussed. The graph theory-based decisionmaking method has also been explored to employ in practical industrial situations. The following major inferences can be drawn from the proposed chapter. These are:


• The triangular and the trapezoidal membership function of a fuzzy-based logic can also offer the conceptual-based rule making and decision-making.

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• The demonstrated case studies from the different past researches explored about the applicability of the suggested method in numerous industries ranging from the manufacturing, service industries, robotic industries, die-making firms, automobiles, etc.
