Integrating (rules, neural networks) and cases for knowledge representation and reasoning in expert systems

Hatzilygeroudis, Ioannis; Prentzas, Jim

doi:10.1016/j.eswa.2003.12.004

Cited by 55 publications

(28 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…[10]) has shown that synergies from using both (rule-based) domain theory and empirical data may result in effective systems. An approach as in [7] combining neurules and cases could be investigated.…”

Section: Discussionmentioning

confidence: 99%

Fuzzy and Neuro-Symbolic Approaches to Assessment of Bank Loan Applicants

Hatzilygeroudis

Prentzas

2011

IFIP Advances in Information and Communication Technology

Self Cite

View full text Add to dashboard Cite

Abstract. In this paper, we present the design, implementation and evaluation of intelligent methods that assess bank loan applications. Assessment concerns the ability/possibility of satisfactorily dealing with loan demands. Different loan programs from different banks may be proposed according to the applicant's characteristics. For each loan program, corresponding attributes (e.g. interest, amount of money that can be loaned) are also calculated. For these tasks, two separate intelligent systems have been developed and evaluated: a fuzzy expert system and a neuro-symbolic expert system. The former employs fuzzy rules based on knowledge elicited from experts. The latter is based on neurules, a type of neuro-symbolic rules that combine a symbolic (production rules) and a connectionist (adaline unit) representation. Neurules were produced from available patterns. Evaluation showed that performance of both systems is close although their knowledge bases were derived from different types of source knowledge.

show abstract

Section: Discussionmentioning

confidence: 99%

Fuzzy and Neuro-Symbolic Approaches to Assessment of Bank Loan Applicants

Hatzilygeroudis

Prentzas

2011

IFIP Advances in Information and Communication Technology

Self Cite

View full text Add to dashboard Cite

show abstract

“…Choy, Lee, and Lo (2003) introduce an intelligent supplier relationship management system (ISRMS) that integrates CBR and ANNs techniques in order to evaluate potential suppliers. Hatzilygeroudis and Prentzas (2004) integrate cases with hybrid rules (called 'neurules') that are used to index cases representing their exceptions. Artificial intelligence research groups have been working towards the study and the proposal of adequate models and computational hybrid architectures for creative reasoning by empowering cross-contributions from CBR and evolutionary computation (EC) (Koza, 2000).…”

Section: State Of the Artmentioning

confidence: 99%

Case-DeSC: A system for case-based design with soft computing techniques

Saridakis

Dentsoras

2007

Expert Systems with Applications

View full text Add to dashboard Cite

“…This decision-support system is based on a multi-layered weight-oriented feed-forward artificial neural network (Wang, Qu, Liu, & Cheng, 2004;Kilagiza, Barana, Yildizb, & Ç etinc, 2005;Hatzilygeroudis, 2004;Li, 1999). A thorough analysis of the requirements of the system was done.…”

Section: Analysis and Design Of The Clinical Decision Support Systemmentioning

confidence: 99%