The plastic-based MMV chip enabled us to develop an easy-to-handle and quantitative system in handling sub-μL volumes.
With optimized cell handling and staining procedure and appropriate system suitability controls, the assay was validated as a quantitative assay.
Much of the available data associated with the system's operations is uncertain and ambiguous, requiring a flexible yet robust approach of handling both quantitative and qualitative data as well as a means of updating existing information as new data becomes available.
Additionally, it is capable of handling both qualitative and quantitative variables in terms of probability.
This paper presents a general model for temporal reasoning that is capable of handling both qualitative and quantitative information.
In this paper, we add an engineering point of view to this process by giving a Hybrid Multicriteria Decision Making (MCDM) approach to evaluate employees' performances working for a same task and explain an efficient way of handling the qualitative and quantitative data simultaneously.
An expert system for coating selection is presented in this paper, which can handle both qualitative and quantitative variables.
For this one, it is easy to handle the temporal and quantitative aspects involved in flexible manufacturing planning.
The Belief Rule Base (BRB) is an expert system which can handle both qualitative and quantitative information.
The second part of the talk presents a general interval-based abstraction-refinement framework that can handle both qualitative and quantitative systems.
