Efficiency measurement for network systems: IT impact on firm performance
Decision Support Systems
Scale and cost efficiency analysis of networks of processes
Expert Systems with Applications: An International Journal
Efficiencies of two-stage systems with fuzzy data
Fuzzy Sets and Systems
Efficiency of parallel production systems with fuzzy data
Fuzzy Sets and Systems
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This paper deals with parallel process systems in which the input and output data are fuzzy. The $$\upalpha $$ 驴 -level based approach is used to compute the fuzzy system efficiency and a simple procedure is proposed to estimate the fuzzy efficiency of the different processes. The main contribution of the paper is estimating the latter taking into account the variability of the process efficiencies compatible with a given value of the system efficiency. This variability comes from the existence of alternative optimal weights in the system efficiency multiplier network DEA models. The computation of the fuzzy system efficiency involves one Linear and one Non-linear Program for each $$\upalpha $$ 驴 -cut while the computation of each process efficiency requires solving just a couple of related Linear Programs for each $$\upalpha $$ 驴 -cut. The proposed approach is illustrated with a parallel systems dataset extracted from the literature.