Decision trees and multi-valued attributes
Machine intelligence 11
Certainty factor theory and its implementation in an information system-oriented expert system shell
Applied Artificial Intelligence
Bayesian probability on Boolean algebras and applications to decision theory
Information Sciences: an International Journal
Introduction to Expert Systems
Introduction to Expert Systems
Rule-Induction and Case-Based Reasoning: Hybrid Architectures Appear Advantageous
IEEE Transactions on Knowledge and Data Engineering
Discovering calendar-based temporal association rules
Data & Knowledge Engineering - Special issue: Temporal representation and reasoning
An efficient cluster and decomposition algorithm for mining association rules
Information Sciences—Informatics and Computer Science: An International Journal
Rapid development of knowledge-based systems via integrated knowledge acquisition
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
An investigation into affective design using sorting technique and Kohonen self-organising map
Advances in Engineering Software
An efficient algorithm for finding dense regions for mining quantitative association rules
Computers & Mathematics with Applications
PDCS-a product definition and customisation system for product concept development
Expert Systems with Applications: An International Journal
Mining association rules with multiple minimum supports using maximum constraints
International Journal of Approximate Reasoning
A matrix representation and mapping approach to knowledge acquisition for product design
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
A novel self-optimizing approach for knowledge acquisition
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Hy-SN: Hyper-graph based semantic network
Knowledge-Based Systems
Mining negative generalized knowledge from relational databases
Knowledge-Based Systems
A new process knowledge representation approach using parameter flow chart
Computers in Industry
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Knowledge acquisition plays a critical role in constructing a knowledge-based system (KBS). It is the most time-consuming phase and has been recognized as the bottleneck of KBS development. This paper presents a matrix representation and mapping (MRM) approach to facilitate the effectiveness of knowledge acquisition in building a KBS. The proposed MRM approach, which is based on matrix representation and mapping operations, comprises six consecutive steps for generating rules. The procedure in each step is elaborated. A case study on primarily diagnosing an automotive system is employed to illustrate how the MRM approach works.