2021
DOI: 10.1109/access.2021.3099342
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Decision-Making System Based on a Fuzzy Hierarchical Analysis Process and an Artificial Neural Network for Flow Shop Machine Scheduling Model Under Uncertainty

Abstract: The management of the uncertainty existing in any production system is fundamental to define machine scheduling models that allow programming production instances attached to the real world. In this research, a generalized decision-making system is developed for the management of uncertainty existing in flow shop machine scheduling models. The system assessment the uncertainty existing in internal and external factors that influence the decision-making process of production programming experts, and that is dec… Show more

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Cited by 4 publications
(3 citation statements)
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“…Hierarchical analysis was carried out to analyze the experimental data on the single factors. [49][50][51][52] The stratication structure is shown in Fig. 4 and the main objective was to obtain the best single factor.…”
Section: Exploring the Hydrogenation Processmentioning
confidence: 99%
“…Hierarchical analysis was carried out to analyze the experimental data on the single factors. [49][50][51][52] The stratication structure is shown in Fig. 4 and the main objective was to obtain the best single factor.…”
Section: Exploring the Hydrogenation Processmentioning
confidence: 99%
“…(5) The information asymmetry of SaMSE and financial institutions, their corporate credit information and the personal credit information data of business owners are not optimistic, and the acquisition of their credit information data is difficult to reflect through the current official query system [9][10].…”
Section: Main Credit Risk Characteristicsmentioning
confidence: 99%
“…Under normal circumstances, nerve cells are not active and are in a state of "inhibition". When receiving external information, some nerves will be stimulated first, changing from "inhibition" to "excitation", and then the information will be transmitted to the nerve cells connected with it [11][12]. A nerve cell consists of four parts: nucleus, dendrite, axon and synapse.…”
Section: Artificial Neural Networkmentioning
confidence: 99%