Data Envelopment Analysis: Theory, Methodology and Application
Data Envelopment Analysis: Theory, Methodology and Application
Multiple-attribute decision making methods for plant layout design problem
Robotics and Computer-Integrated Manufacturing
Multiple attribute decision-making methods for the dynamic operator allocation problem
Mathematics and Computers in Simulation
Expert Systems with Applications: An International Journal
Fuzzy multiattribute grey related analysis using DEA
Computers & Mathematics with Applications
Application of analytic hierarchy process in just-in-time manufacturing systems: a review
International Journal of Data Analysis Techniques and Strategies
Evaluating the influence of E-marketing on hotel performance by DEA and grey entropy
Expert Systems with Applications: An International Journal
Determining of stock investments with grey relational analysis
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A GRA-based intuitionistic fuzzy multi-criteria group decision making method for personnel selection
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
Robotics and Computer-Integrated Manufacturing
A fuzzy TOPSIS model via chi-square test for information source selection
Knowledge-Based Systems
Computers and Industrial Engineering
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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There are many cases in daily life and in the workplace which pose a decision problem. Some of them involve picking the best from among multiple available alternatives. However, no single alternative works best for all performance attributes. This research proposes a multiple attribute decision making (MADM) method, grey relational analysis (GRA), for solving this kind of problem. Two cases, facility layout and dispatching rules selection problem, which have been analyzed by data envelopment analysis (DEA), were also analyzed using the GRA procedure, in order to illustrate the use of GRA. In the case of the facility layout problem, 18 alternative layouts and 6 performance attributes were considered. In the case of the problem of selecting dispatching rules, 9 alternatives dispatching rules and 7 performance attributes were considered. For the two cases examined, the results of comparisons show that GRA is efficient for solving MADM problem.