Enhancing the efficiency of a decision support system through the clustering of complex rule-based knowledge bases and modification of the inference algorithm

DOI10.1155/2018/2065491zbMath1407.68482OpenAlexW2903385897MaRDI QIDQ1723092

Agnieszka Nowak-Brzezińska

Publication date: 19 February 2019

Published in: Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2018/2065491

Mathematics Subject Classification ID

Knowledge representation (68T30) Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35) Computing methodologies for information systems (hypertext navigation, interfaces, decision support, etc.) (68U35)

Uses Software

• UCI-ml

Cites Work

• Mining Rule-based Knowledge Bases Inspired by Rough Set Theory
• How Many Clusters? An Information-Theoretic Perspective
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