Add to ORKGThe paper is a review of our theoretical analysis of uncertainty processing in a broad class of truth-functional expert systems similar to MYCIN and PROSPECTOR, main attention being paid to parallel combination of rules. Algebraic and probabilistic aspects are stressed. The role of Dempster-Shafer theory is investigated
Abstract — The aim of artificial intelligence is to develop tools for representing piece of knowledg...
The paper presents the usage of mathematical theory of evidence in maritime and offshore application...
AbstractThis paper presents an efficient adaptation and application of the DempsterShafer ( (D-S) th...
The work described in this thesis stems from the idea that expert systems should be able to accurate...
International audienceIn this paper we study the uncertainty management in expert systems. This task...
Reasoning with uncertain information has received a great deal of attention recently, as this issue ...
Inference under uncertainty plays a crucial role in expert system and receives growing attention fro...
AbstractThis paper compares four measures that have been advocated as models for uncertainty in expe...
In the past, expert systems exploited mainly the EMYCIN model and the PROSPECTOR model to deal with ...
The initial work introducing Dempster-Shafer (D-S) theory is found in Dempster (1967) and Shafer (19...
Much of the research done in Artificial Intelligence involves investigating and developing methods o...
AbstractMost expert knowledge is ill-defined and heuristic. Therefore, many present-day rule-based e...
The method of reasoning with uncertain information known as Dempster-Shafer theory arose from the re...
The problem of uncertainty management in systems based on rules can be dealt with using several meth...
Abstract Forest management decisions often must be made using sparse data and expert judgment. The r...
Abstract — The aim of artificial intelligence is to develop tools for representing piece of knowledg...
The paper presents the usage of mathematical theory of evidence in maritime and offshore application...
AbstractThis paper presents an efficient adaptation and application of the DempsterShafer ( (D-S) th...
The work described in this thesis stems from the idea that expert systems should be able to accurate...
International audienceIn this paper we study the uncertainty management in expert systems. This task...
Reasoning with uncertain information has received a great deal of attention recently, as this issue ...
Inference under uncertainty plays a crucial role in expert system and receives growing attention fro...
AbstractThis paper compares four measures that have been advocated as models for uncertainty in expe...
In the past, expert systems exploited mainly the EMYCIN model and the PROSPECTOR model to deal with ...
The initial work introducing Dempster-Shafer (D-S) theory is found in Dempster (1967) and Shafer (19...
Much of the research done in Artificial Intelligence involves investigating and developing methods o...
AbstractMost expert knowledge is ill-defined and heuristic. Therefore, many present-day rule-based e...
The method of reasoning with uncertain information known as Dempster-Shafer theory arose from the re...
The problem of uncertainty management in systems based on rules can be dealt with using several meth...
Abstract Forest management decisions often must be made using sparse data and expert judgment. The r...
Abstract — The aim of artificial intelligence is to develop tools for representing piece of knowledg...
The paper presents the usage of mathematical theory of evidence in maritime and offshore application...
AbstractThis paper presents an efficient adaptation and application of the DempsterShafer ( (D-S) th...