A decision model for technology selection in the existence of both cardinal and ordinal data
From MaRDI portal
Publication:856167
DOI10.1016/j.amc.2006.03.012zbMath1102.90355OpenAlexW2045240805WikidataQ59165316 ScholiaQ59165316MaRDI QIDQ856167
Publication date: 7 December 2006
Published in: Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.amc.2006.03.012
Related Items (4)
Technologies ranking in the presence of both cardinal and ordinal data ⋮ A decision model for selecting slightly non-homogeneous technologies ⋮ An integrated multi-objective framework for solving multi-period project selection problems ⋮ The binary knapsack problem with qualitative levels
Cites Work
- Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis
- Measuring the efficiency of decision making units
- On FDH efficiency analysis with interval data
- A method using weight restrictions in data envelopment analysis for ranking and validity issues in decision making
- An application of data envelopment analysis in telephone offices evaluation with partial data
- A nonparametric stochastic procedure for FMS evaluation
- Data envelopment analysis with imprecise data
- The maximum and minimum number of efficient units in DEA with interval data
- On return to scale of fully efficient DMUs in data envelopment analysis under interval data
- Imprecise data envelopment analysis (IDEA): A review and improvement with an application
- Efficiency evaluation with strong ordinal input and output measures
- Sensitivity and stability analysis in DEA with interval data
- Using analytic network process and goal programming for interdependent information system project selection
- Interval efficiency assessment using data envelopment analysis
- Technologies ranking in the presence of both cardinal and ordinal data
- A decision model for selecting slightly non-homogeneous technologies
- Rank order data in DEA: a general framework
- Interval efficiency measures in data envelopment analysis with imprecise data
- Comments on operational competitiveness rating analysis (OCRA)
- IDEA and AR-IDEA: Models for Dealing with Imprecise Data in DEA
- An Illustrative Application of Idea (Imprecise Data Envelopment Analysis) to a Korean Mobile Telecommunication Company
- Imprecise DEA via Standard Linear DEA Models with a Revisit to a Korean Mobile Telecommunication Company
- A decision model for evaluation of flexible manufacturing systems in the presence of both cardinal and ordinal factors
- Data Envelopment Analysis in the Presence of Both Quantitative and Qualitative Factors
- An application of zero-one goal programming in project selection and resource planning -- a case study from the Woodward Governor Company
This page was built for publication: A decision model for technology selection in the existence of both cardinal and ordinal data
