𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Application of multiple-valued logic in the description of the propagation of uncertain information in expert systems

✍ Scribed by Julius Csonto


Publisher
Elsevier Science
Year
1991
Tongue
English
Weight
549 KB
Volume
4
Category
Article
ISSN
0952-1976

No coin nor oath required. For personal study only.

✦ Synopsis


A method of processing uncertain information in rule-based expert systems is presented. The method is based on the multiple-valued threshold logic and provides effective computer implementation owing to minimum requirements on arithmetic operations. The possibility of an adequately fine operation with uncertainty is guaranteed. The modelling of various schemes of human reasoning is allowed merely by altering the threshold values.


πŸ“œ SIMILAR VOLUMES


Uncertain fuzzy values still in the fram
✍ O. Pons; J. C. Cubero; A. Gonzalez; M. A. Vila πŸ“‚ Article πŸ“… 2002 πŸ› John Wiley and Sons 🌐 English βš– 106 KB πŸ‘ 2 views

In this article, we first summarize the more important aspects of a fuzzy logic relational database and show how a fuzzy relational database can be represented and handled using first-order logic. Given that the results obtained for fuzzy databases are satisfactory, we then tackle the problem of unc

The application of deep models in indust
✍ J. CardeΓ±osa; F. Alonso; J. Castellanos; J. Garcia πŸ“‚ Article πŸ“… 1991 πŸ› Elsevier Science 🌐 English βš– 803 KB

This article differentiates between the four main knowledge levels of a human expert: namely, structural conceptual heuristic, and epistemological knowledge. The conceptual relationships between these various types of knowledge are constituent elements of the deep knowledge encountered in industrial

On the problems of representation and pr
✍ Roger Martin-Clouaire; Henri Prade πŸ“‚ Article πŸ“… 1985 πŸ› Elsevier Science βš– 788 KB

This paper discusses the adaptation of basic knowledge representation constructs to the treatment of imprecise or uncertain information, the modelling of which uses distribution and scalar value respectively. Other representation issues such as the use of variables and the organization of rules in n