The Dempster-Shafter Theory is well-known for its usefulness to express uncertain judgments of experts. This contribution shows how to apply the calculus to safety and reliability modelling, especially to expert judgement; Failure Modes, Effects, and Criticality Analysis; Event Tree Analysis, Fault Tree Analysis, and Reliability Centred Maintenance. Including a tutorial introduction to the Demp...

Dempster-Shafer theory, which can be regarded as a generalisation of probability theory, is a widely used formalism for reasoning with uncertain information. The application of the theory hinges on the use of a rule for combining evidence from different sources. A number of different combination rules have been applied, each of which makes certain assumptions about the evidence. Here we describ...

A sufficient condition is developed for the equality of the plausibility and commonality measures of the Dempster-Shafer belief calculus. When the condition is met, as it is in many applications, an efficient method to calculate relative plausibility is available. In particular, the method can be used to calculate the relative plausibility of atomic hypotheses and, therefore, it can be used to ...

Kucing merupakan salah satu hewan yang banyak dipelihara oleh masyarakat. Penyakit kulit pada kucing seringkali membuat pemiliknya merasa bingung dan terkendala dalam diagnosa penyakit dipelihara. Butuh perawatan lebih untuk menjaga kesehatan perlunya pemahaman bagi pemilik mengetahui cara menangani apabila terserang kulit. Dengan adanya sistem pakar dapat diketahui apa sedang dialami tersebut ...

SISTEM PAKAR UNTUK MENDIAGNOSA PENYAKIT GINJAL DENGAN METODE DEMPSTER SHAFER PADA KLINIK MEDIKA PLAZACurrent technological advances have changed manual information processing to computerized, making it faster and more accurate. One of the applications technology in health sector is implemented form an expert system application for diagnosing various diseases as done by a doctor or expert. Kidne...

In this paper, the Dempster-Shafer method is employed as the theoretical basis for creating data classification systems. Testing is carried out using three popular (multiple attribute) benchmark datasets that have two, three and four classes. In each case, a subset of the available data is used for training to establish thresholds, limits or likelihoods of class membership for each attribute, a...

The Dempster–Shafer (DS) theory of probabilistic reasoning is presented in terms of a semantics whereby every meaningful formal assertion is associated with a triple (p,q, r) where p is the probability ‘‘for’’ the assertion, q is the probability ‘‘against’’ the assertion, and r is the probability of ‘‘don’t know’’. Arguments are presented for the necessity of ‘‘don’t know’’. Elements of the cal...