An approach to nonmonotonic inference mechanism in production system KORE/IE

1989 ◽  
pp. 38-52
Author(s):  
Toramatsu Shintani
Keyword(s):  
Production System ◽  
Inference Mechanism ◽  
Nonmonotonic Inference

Non-standard theories of uncertainty in knowledge representation and reasoning

1994 ◽  
Vol 9 (4) ◽  
pp. 399-416 ◽  
Author(s):  
Didier Duboid ◽  
Henri Prade
Keyword(s):  
State Of The Art ◽  
Nonmonotonic Reasoning ◽  
Possibility Theory ◽  
Lower Probability ◽  
Knowledge Representation And Reasoning ◽  
Uncertainty Modelling ◽  
Factual Information ◽  
Inference Mechanism ◽  
Correct Representation ◽  
Nonmonotonic Inference

AbstractThis paper provides a survey of the state of the art in plausible reasoning, that is exception tolerant reasoning under incomplete information. Three requirements are necessary for a formalism in order to cope with this problem: (i) making a clear distinction between factual information and generic knowledge; (ii) having a correct representation of partial ignorance; (iii) providing a nonmonotonic inference mechanism. Classical logic fails on requirements (i) and (iii), whilst the Bayesian approach does not fulfil (ii) in an unbiased way. In this perspective, various uncertainty modelling frameworks are reviewed: MYCIN-like fully compositional calculi, belief functions, upper and lower probability systems, and possibility theory. Possibility theory enables classical logic to be extended to layered sets of formulae, where layers express certainty levels. Finally, it is explained how generic knowledge can be expressed by constraints on possibility measures, and how possibilistic inferences can encode nonmonotonic reasoning in agreement with the Lehmann et al. postulates.

Knowledge-Based Decision Support for Diagnosis and Therapy: On the Multiple Usability of Patient Data

1989 ◽  
Vol 28 (02) ◽  
pp. 69-77 ◽  
Author(s):  
R. Haux
Keyword(s):  
Expert Systems ◽  
Statistical Data ◽  
Patient Data ◽  
Attribute Selection ◽  
Patient Specific ◽  
Statistical Data Analysis ◽  
Inference Mechanism ◽  
Diagnosis And Therapy ◽  
Knowledge Based ◽  
Clinical Registries

Abstract:Expert systems in medicine are frequently restricted to assisting the physician to derive a patient-specific diagnosis and therapy proposal. In many cases, however, there is a clinical need to use these patient data for other purposes as well. The intention of this paper is to show how and to what extent patient data in expert systems can additionally be used to create clinical registries and for statistical data analysis. At first, the pitfalls of goal-oriented mechanisms for the multiple usability of data are shown by means of an example. Then a data acquisition and inference mechanism is proposed, which includes a procedure for controlling selection bias, the so-called knowledge-based attribute selection. The functional view and the architectural view of expert systems suitable for the multiple usability of patient data is outlined in general and then by means of an application example. Finally, the ideas presented are discussed and compared with related approaches.

Introduction: the tv series production system in Uk

IKON ◽  
2014 ◽  
pp. 41-43
Author(s):  
Erica Negri
Keyword(s):  
Production System ◽  
Series Production

Introduction: the tv series production system in Germany

IKON ◽  
2014 ◽  
pp. 27-28
Author(s):  
Paolo Braga ◽  
Erica Negri ◽  
Michele Zatta
Keyword(s):  
Production System ◽  
Series Production

EVALUATION OF FLOAT TRAYS WITH HIGH CELL NUMBERS ON STAND COUNTS AND YIELDS IN A CLOSE-GROWN TOBACCO PRODUCTION SYSTEM

2012 ◽  
Vol 49 ◽  
pp. 4-7 ◽  
Author(s):  
Richard Mundell ◽  
Orlando Chambers ◽  
James P O'Daniel ◽  
H. Maelor Davies
Keyword(s):  
Production System ◽  
High Cell ◽  
Cell Numbers ◽  
Tobacco Production

Improving Production System Performance Using Overall Equipment Effectiveness

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Lance Clarence ◽  
Wan Muhammad Noor Sarbani Mat Daud
Keyword(s):  
Production System ◽  
System Performance ◽  
Intelligent System ◽  
Global Market ◽  
Equipment Failure ◽  
Intuitive Knowledge ◽  
Analysis Tools ◽  
New Process ◽  
Knowledge Delivery

In the competition among organization on the global market, no organization will tolerate losses. Overall Equipment Effectiveness (OEE) overall is a new process in which the efficiency of a system is calculated and complicated manufacturing issues are truly simplified to simple and intuitive knowledge delivery. It thinks about the exceptionally important measures of productivity. An endeavour has been done to measure and analyse existing Overall Equipment Effectiveness (OEE) at company Kirino in hope to reduce unplanned downtime losses on equipment failure and tooling damage to maximize the productivity. The methods used to analyse these various causes were analysis tools and Intelligence Systems. After knowing the causes of various activities that leads to high rates of defects, then recommendations for improvements that could be used by company Kirino were ready to be made using intelligent system as a medium of solution

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