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Some researches using model predictive control (MPC) based on simulations may result in error due to uncertain data input.
As mentioned above, this approach may lead to uncertain data not feasible for any effect concentration (EC) calculation or to estimate the risk potency of a pollutant.
On the other hand, in the uncertain data mining field, the research also has made a lot of achievements in recent years, such as uncertain data modelling and management work [ 14, 15], and paper [ 16] introduced the latest technology related to uncertain data, but these studies still primarily focus on traditional uncertain data items.
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In particular, fuzzy logic has shown its suitability for medical applications, in order to manage uncertain data, and to build transparent rule-based classifiers.
Secondly, its expansion known as fuzzy TOPSIS to handle uncertain data is presented.
In practice, users will not want to separate 'uncertain data' from 'certain data' and will therefore require a single database that meets all the requirements of a conventional database, as well as the ability to handle uncertain data specifically.
The probability distribution of interpolation errors is encoded with UncertML, a markup language designed to encode uncertain data.
(2) Online shop location optimization can be modeled and calculated by fuzzy numbers to handle uncertain data.
Possible world models are widely used to model uncertain data sets, in which probability graph will be converted into the corresponding possible worlds model graph that it infers, and then each probability subgraph is mapped into 2n (n is the number of edges of probability subgraph) possible graph instances using the topology graph mining algorithm [ 12, 13, 24, 25].
Both processing levels have to deal with uncertain data, and have to take into account learned statistical knowledge.
This intelligent system is implemented by integrating object-oriented representation, constraint-based modeling, rule-based reasoning, truth maintenance, and interfacing to database management system and CAD module, in which fuzzy logic based knowledge representation and inference technique are also applied to deal with uncertain data and knowledge in the design process.
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