Weighted Fuzzy Reasoning Using Weighted Fuzzy Petri Nets
IEEE Transactions on Knowledge and Data Engineering
A self-organizing feature map-driven approach to fuzzy approximate reasoning
Expert Systems with Applications: An International Journal
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
Information Theory Inspired Weighted Immune Classification Algorithm
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
Learning-based disassembly process planner for uncertainty management
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special section: Best papers from the 2007 biometrics: Theory, applications, and systems (BTAS 07) conference
Advanced Self-adaptation Learning and Inference Techniques for Fuzzy Petri Net Expert System Units
AICI '09 Proceedings of the International Conference on Artificial Intelligence and Computational Intelligence
A weighted interval-valued fuzzy decision method based on OWA operator
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 6
Transformation of UML activity diagrams into analyzable systems and software blueprints construction
WSEAS Transactions on Information Science and Applications
Similarity-based fuzzy reasoning by DNA computing
International Journal of Bio-Inspired Computation
Using special structured fuzzy measure to represent interaction among IF-THEN rules
ICMLC'05 Proceedings of the 4th international conference on Advances in Machine Learning and Cybernetics
Refinement of fuzzy production rules by using a fuzzy-neural approach
ICMLC'05 Proceedings of the 4th international conference on Advances in Machine Learning and Cybernetics
Computers and Industrial Engineering
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The applications of fuzzy production rules (FPR) are rather limited if the relative degree of importance of each proposition in the antecedent contributing to the consequent (i.e., the weight) is ignored or assumed to be equal. Unfortunately, this is the case for many existing FPR and most existing fuzzy expert system development shells or environments offer no such functionality for users to incorporate different weights in the antecedent of FPR. This paper proposes to assign a weight parameter to each proposition in the antecedent of a FPR and a new fuzzy production rule evaluation method (FPREM) which generalizes the traditional method by taking the weight factors into consideration is devised. Furthermore, a multilevel weighted fuzzy reasoning algorithm (MLWFRA) incorporating this new FPREM, which is based on the reachability and adjacent place characteristics of a fuzzy Petri net, is developed. The MLWFRA has the advantages that i) it offers multilevel reasoning capability; ii) it allows multiple conclusions to be drawn if they exist; iii) it offers a new fuzzy production rule evaluation method; and iv) it is capable of detecting cycle rules