Representation and semiautomatic acquisition of medical knowledge in CADIAG-1 and CADIAG-2
Computers and Biomedical Research
Australian Computer Journal
The implementation of fprolog—a fuzzy prolog interpreter
Fuzzy Sets and Systems
A personal computer based expert system for answering student questions in the CS1 course
SIGSMALL '90 Proceedings of the 1990 ACM SIGSMALL/PC symposium on Small systems
"Conscious" software: a computational view of mind
Soft computing agents
A Strategy of Dynamic Reasoning in Knowledge-Based System with Fuzzy Production Rules
Journal of Intelligent Information Systems
Knowledge Representation Using Fuzzy Petri Nets
IEEE Transactions on Knowledge and Data Engineering
Formal Specification of Geographic Data Processing Requirements
IEEE Transactions on Knowledge and Data Engineering
An inference engine based on fuzzy logic for uncertain and imprecise expert reasoning
Fuzzy Sets and Systems - Data bases and approximate reasoning
A computational model of an intuitive reasoner for ecosystem control
Expert Systems with Applications: An International Journal
An incremental learning system for imprecise and uncertain knowledge discovery
Information Sciences: an International Journal
Smart pulse wave detection system using intelligence
ICHIT'11 Proceedings of the 5th international conference on Convergence and hybrid information technology
A fuzzy expert system shell: From minicomputer to PC
Artificial Intelligence in Medicine
| Hi-index | 4.10 |
The authors present a comprehensive expert-system building tool, called System Z-II, that can deal with exact, fuzzy (or inexact), and combined reasoning, allowing fuzzy and normal terms to be freely mixed in the rules and facts of an expert system. This fully implemented tool has been used to build several expert systems in the fields of student curriculum advisement, medical diagnosis, psychoanalysis, and risk analysis. System Z-II is a rule-based system that uses fuzzy logic and fuzzy numbers for its inexact reasoning. It uses two basic inexact concepts, fuzziness and uncertainty, which are distinct from each other in the system.