Self-assessment of parallel network systems with intuitionistic fuzzy data: a case study
In hospital management, it is often observed that each decision making unit is under different and uncontrollable conditions. Consequently, comparing the units to each other cannot necessarily identify ineffectiveness of the units. This paper suggests the manager of a hospital to implement self-assessment technique for measuring the efficiency. The objective of this paper is to measure the efficiency of parallel system in intuitionistic fuzzy environment by introducing self-assessment technique which is the best type of evaluation where the maximum stability of the conditions is considered. The proposed model evaluates the performance of system and processes and determines the reasons of inefficiency in order to reduce the risk of lack of information about decision and deal with vague and complex conditions in real world.
KeywordsSelf-assessment Parallel network systems Intuitionistic fuzzy parallel DEA
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Conflict of interest
The authors do hereby declare that there is no conflict of interests of other works regarding the publication of this paper.
Human and animal rights
This article does not contain any studies with human participants or animals performed by any of the authors.
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