A Survey on Rough Intervals Programming Formulation and Methodologies
Abohany, A., Abou-Seida, O. (2021). A Survey on Rough Intervals Programming Formulation and Methodologies. EKB Journal Management System, 2(1), 1-8. doi: 10.21608/kjis.2021.4430.1005
Amr Abohany; Osama Abou-Seida. "A Survey on Rough Intervals Programming Formulation and Methodologies". EKB Journal Management System, 2, 1, 2021, 1-8. doi: 10.21608/kjis.2021.4430.1005
Abohany, A., Abou-Seida, O. (2021). 'A Survey on Rough Intervals Programming Formulation and Methodologies', EKB Journal Management System, 2(1), pp. 1-8. doi: 10.21608/kjis.2021.4430.1005
Abohany, A., Abou-Seida, O. A Survey on Rough Intervals Programming Formulation and Methodologies. EKB Journal Management System, 2021; 2(1): 1-8. doi: 10.21608/kjis.2021.4430.1005

A Survey on Rough Intervals Programming Formulation and Methodologies

Kafrelsheikh Journal of Information Sciences
Article 1, Volume 2, Issue 1, August 2021, Page 1-8  XML PDF (442.43 K)
Document Type: Survey Article
DOI: 10.21608/kjis.2021.4430.1005
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Authors
Amr Abohany email 1; Osama Abou-Seida2
1Faculty of Computers and Information Sciences, Kafrelsheikh University, Egypt
2Computer Science Department, Faculty of Computers and Information Sciences, Kafrelsheikh University, Egypt.
Abstract
This research states a survey on formulation of linear programming problems with rough intervals coefficients in the objective functions and constraints, basic preliminaries about rough intervals, interval method and trust probability constraints for transforming rough intervals to crisp nature and fully rough intervals problems. Finally, presents different operational research models that contain rough intervals coefficients.
This research states a survey on formulation of linear programming problems with rough intervals coefficients in the objective functions and constraints, basic preliminaries about rough intervals, interval method and trust probability constraints for transforming rough intervals to crisp nature and fully rough intervals problems. Finally, presents different operational research models that contain rough intervals coefficients.
This research states a survey on formulation of linear programming problems with rough intervals coefficients in the objective functions and constraints, basic preliminaries about rough intervals, interval method and trust probability constraints for transforming rough intervals to crisp nature and fully rough intervals problems. Finally, presents different operational research models that contain rough intervals coefficients.
Keywords
rough intervals; interval method; trust probability constraints and fully rough intervals
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