Learning fuzzy rules for similarity assessment in case-based reasoning
N **ong - Expert systems with applications, 2011 - Elsevier
Fundamental to case-based reasoning is the assumption that similar problems have similar
solutions. The meaning of the concept of “similarity” can vary in different situations and …
solutions. The meaning of the concept of “similarity” can vary in different situations and …
Mining sparse and big data by case-based reasoning
P Perner - Procedia Computer Science, 2014 - Elsevier
The increasing use of digital media in daily life has resulted in a need for novel multimedia
data analysis techniques. Case-based Reasoning (CBR) solves problems using the already …
data analysis techniques. Case-based Reasoning (CBR) solves problems using the already …
Hybrid intelligent parameter estimation based on grey case-based reasoning for laminar cooling process
In this paper, a hybrid intelligent parameter estimation algorithm is proposed for predicting
the strip temperature during laminar cooling process. The algorithm combines a hybrid …
the strip temperature during laminar cooling process. The algorithm combines a hybrid …
Fuzzy rule-based similarity model enables learning from small case bases
N **ong - Applied Soft Computing, 2013 - Elsevier
The concept of similarity plays a fundamental role in case-based reasoning. However, the
meaning of “similarity” can vary in situations and is largely domain dependent. This paper …
meaning of “similarity” can vary in situations and is largely domain dependent. This paper …
[PDF][PDF] Application of new techniques of artificial intelligence in logistics: an ontology-driven case-based reasoning approach
M Kowalski, S Zelewski… - Proceedings of …, 2012 - orgo-logistik.wiwi.uni-due.de
In most cases, the project management is dealing with the “intelligent” reuse of know-how
from previous projects and its adaptation to a similar, new project. Until now, purely …
from previous projects and its adaptation to a similar, new project. Until now, purely …
Case-based reasoning–methods, techniques, and applications
P Perner - Progress in Pattern Recognition, Image Analysis …, 2019 - Springer
Case-based reasoning (CBR) solves problems using the already stored knowledge, and
captures new knowledge, making it immediately available for solving the next problem …
captures new knowledge, making it immediately available for solving the next problem …
[PDF][PDF] The Problem of Normalization and a Normalized Similarity Measure by Online Data.
A Attig, P Perner - Trans. Case Based Reason., 2011 - ibai-publishing.org
Case-based reasoning, image or data retrieval is based on similarity determination between
the actual case and the cases in a database. It is preferable to normalize the similarity …
the actual case and the cases in a database. It is preferable to normalize the similarity …
Combined feature selection and similarity modelling in case-based reasoning using hierarchical memetic algorithm
This paper proposes a new approach to discover knowledge about key features together
with their degrees of importance in the context of case-based reasoning. A hierarchical …
with their degrees of importance in the context of case-based reasoning. A hierarchical …
Case‐based reasoning and the statistical challenges
P Perner - Quality and Reliability Engineering International, 2008 - Wiley Online Library
Case‐based reasoning (CBR) solves problems using the already stored knowledge and
captures new knowledge, making it immediately available for solving the next problem …
captures new knowledge, making it immediately available for solving the next problem …
Syntactical similarity learning by means of grammatical evolution
Several research efforts have shown that a similarity function synthesized from examples
may capture an application-specific similarity criterion in a way that fits the application needs …
may capture an application-specific similarity criterion in a way that fits the application needs …