In the context of inHaus, the authors of [44] also propose a generic probabilistic reasoning framework for networked homes based on ontologies, however, more than the specific application in a smart home, a generic framework approach is followed.
There are many things which a fresh medical student, unburdened by factual knowledge, can begin to learn: basic surgical methods, resuscitation interventions, generic reasoning skills, and counselling techniques, to name a few.
It also describes the generic reasoning process we formalized to identify component similarity in a standard product model based on practitioners' varied preferences.
The generic reasoning process evaluates the geometric, topological, and symbolic similarities between components, creates groupings of similar components, and quantifies the degree of similarity.
The clients are a number of specialized components which have the following functionalities: creating new knowledge base, acquiring cases, attaching multimedia files to cases, defining users for security checking, and deducting solutions using generic reasoning component for the purpose of application testing.
In this work, we present a generic approach for reasoning over AFs, based on the novel concept of complexity-sensitivity.
The most important property of the new ER rule is that it constitutes a generic conjunctive probabilistic reasoning process, or a generalised Bayesian inference process.
This paper proposes a novel framework for analysing and synthesising engineering system risks on the basis of a generic Fuzzy Evidential Reasoning (FER) approach.
GART has been built on the basis of a generic conceptual model of approximate reasoning, which encompasses both fuzziness and uncertainty.
The proposed Multi-FNNs are based on a concept of fuzzy rule-based FNNs that use H ard C-M eans (HCM) clustering and evolutionary fuzzy granulation and exploit linear inference being treated as a generic inference mechanism of approximate reasoning.
