2019
DOI: 10.1016/j.jbi.2018.11.011
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A combined modelling of fuzzy logic and Time-Driven Activity-based Costing (TDABC) for hospital services costing under uncertainty

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Cited by 30 publications
(37 citation statements)
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“…Costs analysis based in ABC model permitted to detect which expenditure items are particularly sensitive [18,19]. This information gives the chance of prioritise the expenditure in those projects with a higher scientific impact and relevant applications.…”
Section: Discussionmentioning
confidence: 99%
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“…Costs analysis based in ABC model permitted to detect which expenditure items are particularly sensitive [18,19]. This information gives the chance of prioritise the expenditure in those projects with a higher scientific impact and relevant applications.…”
Section: Discussionmentioning
confidence: 99%
“…To introduce an analysis tool that settles the expenses incurred by the BioBanks [14][15][16][17]. This analysis studies retrospective data, draws up service budgets, and forecasts prospective collections according to demand [18,19]. We considered different economic models for this goal: (1) partial costs system: includes only direct costs involved in the production process based on developed activities.…”
Section: Methodsmentioning
confidence: 99%
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“…The theory of fuzzy sets was introduced in 1965 by Lotfi Zadeh [25]. The application of the fuzzy sets theory is its capability to present ambiguous issues so that the manager can take advantage of the definition of uncertain and inaccurate data and thus reduce risks in using fuzzy data [26].According to the previous studies for finding a near optimal solution, MOPSO and MOICA have shown good performance. Therefore, MOPSO and MOICA have been designed to solve problems with continuous range for comparing the result in this study.…”
mentioning
confidence: 99%
“…The theory of fuzzy sets was introduced in 1965 by Lotfi Zadeh [25]. The application of the fuzzy sets theory is its capability to present ambiguous issues so that the manager can take advantage of the definition of uncertain and inaccurate data and thus reduce risks in using fuzzy data [26].…”
mentioning
confidence: 99%