This paper deals with the problem of optimizing a linear function over efficient set 0-1 bi-objective knapsack problem. Such represents main criterion posed. The resolution process is based essentially on dynamic programming. proposed method provides subset solutions including one which optimizes without having to enumerate all Numerical experiments are reported, different instances large sizes...

This paper deals with the core research on the architecture of ETL process which is applied on BI environment along with the advent of metadata at each corresponding layer that can be applicable to all the scenarios of BI. The management of extraction process has been done using several operators which help in reducing its complexity. New operators have been developed to easily understand each ...

Data warehousing is an important part of the enterprise information system. Business intelligence (BI) relies on data warehouses to improve business performance. Data quality plays a key role in BI. Source data is extracted, transformed, and loaded (ETL) into the data warehouses periodically. The ETL operations have the most crucial impact on the data quality of the data warehouse. ETL-related ...

in this paper, the researchers have proposed a multi-dimensional knapsack model for project capital budgeting problem in uncertain situation which has been modeled through fuzzy sets. the optimistic and pessimistic situations were considered and associated deterministic models were yielded. numerical example has been supplied toillustrate the performance of proposed model. the results were prom...

Bi-objective optimization of a multi-product multi-period three-echelon supply chain network consisting of manufacturing plants, distribution centers (DCs) each with uncertain services, and customer nodes is aimed in this paper. The two objectives are minimization of the total cost while maximizing the average number of products dispatched to customers. The decision variables are: (1) the numbe...