Application of Decision Tables in Technological Knowledge Representation

Alfred Paszek; Piotr Wittbrodt

doi:10.4028/www.scientific.net/AMM.791.18

Paper Titles

Preface and Committees

The Operating Diagnostics in the Computer Aided Systems of Production Processes
p.3

Assumptions and Algorithms for Scheduling Low-Volume Production
p.10

Application of Decision Tables in Technological Knowledge Representation
p.18

Integration of CAD/PDM and ERP Systems in Practice
p.26

Introduction to Basic Integration of Measurement Devices with Cloud Computing Services
p.34

The Application of Cloud Computing with the Internet of Things
p.42

Use of Cloud Computing in Project Management
p.49

Statistical Methods in the Automotive Industry
p.56

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 791Application of Decision Tables in Technological...

Application of Decision Tables in Technological Knowledge Representation

Abstract:

Decision tables are used in the elaboration of knowledge representation. This article describes the possibilities of using decision tables for production preparation in enterprises of machine industry. The basic structure and decision tables properties in information processing, based on design rules, were characterized. A procedure for the creation of classical decision tables concerning exemplary pre-treatment decision variants was presented. A method of elaboration of modal decision table for the input material assignment to the production was described. An example regarding the construction of knowledge elements basing on the fuzzy sets and levels of capability and statements certainty was shown. Developed decision tables can be used in the construction of an expert system aided design of technological processes

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Periodical:

Applied Mechanics and Materials (Volume 791)

Pages:

18-25

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.791.18

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Online since:

September 2015

Authors:

Alfred Paszek, Piotr Wittbrodt

Keywords:

Decision Tables, Decision Tree, Design Rules, Fuzzy Sets, Knowledge Representation, Technological Preparation of Production

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