Decision Support Methods

Cruz, André Vargas Abs da; Barbosa, Carlos Roberto Hall; Lazo, Juan G. Lazo; Figueiredo, Karla; Almeida, Luciana Faletti; Pacheco, Marco Aurélio Cavalcanti; Vellasco, Marley; Valdivia, Yván Jesús Túpac

doi:10.1007/978-3-540-93000-6_3

Cited by 3 publications

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Application of rough sets and artificial neural network in core enterprise performance prediction

Shi

2008

2008 27th Chinese Control Conference

View full text Add to dashboard Cite

A predication model of core enterprise performance was proposed based on rough sets and artificial neural network from Knowledge Discovery and Data Mining perspective at first. Then, the calculation and analysis process of the model were given and discussed. The performance decision-making table and discernable matrix were designed and the artificial neural network and Back Propagation algorithm(BP network) were put forward. Finally, the model was applied into a practical prediction example study. After the Balanced Scorecard Index System was reduced and the reduction index was input to the artificial neural network for intelligent training, the predicted sample was input to the trained network, the prediction value of the core enterprise performance was gained. The prediction result is consistent with the actual result.

show abstract

Application of rough sets and artificial neural network in core enterprise performance prediction

Shi

2008

2008 27th Chinese Control Conference

View full text Add to dashboard Cite

show abstract

Manufacturing Supply Chain Performance Evaluation Based on Heuristic Attribute Reduction and Neural Network

Shi

2008

2008 Fourth International Conference on Natural Computation

View full text Add to dashboard Cite

Organizational Analgesics and Development of a Scale for Measuring Perceptions of University Students

Ozmusul

2015

Journal of European Education-Avrupa Eğitim Dergisi

View full text Add to dashboard Cite

Organizational analgesics conceptualized by the author of this study can be defined as suppressing, mitigating or calming the organizational pains through various temporary initiatives on the basis of focusing only the symptoms instead of searching, finding out, and removing the root causes that bring about the pains. Introducing a new concept to the management science, this study aimed mainly to develop a valid scale for measuring the level of usage of organizational analgesics. 33 bachelor and graduate students participated in the preliminary scale development studies. The other analyses were conducted with 207 bachelor and graduate students from Harran University in the academic year of 2014-2015 in Turkey. The results revealed that the scale consisted of 24 items taken place in three factors entitled aims, management, and leadership. Content validity, descriptive statistics, Chronbach's Alpha coefficients, exploring and confirming factor analyses, and also discriminant validity studies confirmed the validity and reliability of the scale. Based on the results, this study has the implication that the organizations and researchers can determine and evaluate the usage of the organizational analgesics, find out potential risks threaten the life of organizations, and conduct next studies in the management science.

show abstract

Decision Support Methods

Cited by 3 publications

References 33 publications

Application of rough sets and artificial neural network in core enterprise performance prediction

Application of rough sets and artificial neural network in core enterprise performance prediction

Manufacturing Supply Chain Performance Evaluation Based on Heuristic Attribute Reduction and Neural Network

Organizational Analgesics and Development of a Scale for Measuring Perceptions of University Students

Contact Info

Product

Resources

About