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We integrate fuzzy concepts with real inventory data and design a decision support system assisting a sensible multi-criteria inventory classification.
We propose an inventory classification system based on the fuzzy analytic hierarchy process (AHP), a commonly used tool for multi-criteria decision making problems.
We report on a study conducted in a small electrical appliances company and validate the design of the proposed multi-criteria inventory classification system and its underlying fuzzy AHP model.
In this paper we deal with the problem of designing a classifier able to learn the classification of existing units in inventory and then use it to classify new units according to their attributes in a multi-criteria ABC inventory classification environment.
In the two samples of fibromyalgia up to one third of the patients changed Multidimensional Pain Inventory classification at retest (Table 5).
The Multidimensional Pain Inventory Classification System – classifying patients into predefined subgroups labelled as adaptive copers, dysfunctional, and interpersonally distressed – is substantially stable.
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These authors concluded that for a sizeable number of chronic pain patients, Multidimensional Pain Inventory classifications may not be stable and need to be reconsidered [ 11, 13].
We made an inventory and classification of these landforms.
Multidimensional Pain Inventory subgroup classification is substantially stable in chronic back pain patients when compared to other diagnostic groups and other examiner-based subgroup Classification Systems.
This retrospective Multidimensional Pain Inventory subgroup classification (a posteriori) provides information that may help to improve the effects of standard pain management programs.
Previous international studies mainly involving fibromyalgia patients showed that retest resulted in 33 38% of patients being assigned to a different Multidimensional Pain Inventory subgroup classification.
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