Minimization approach to membership evaluation in fuzzy sets and error analysis
Journal of Optimization Theory and Applications
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Comments on "Distinguishability quantification of fuzzy sets"
Information Sciences: an International Journal
Classification of symbolic objects: A lazy learning approach
Intelligent Data Analysis - Analysis of Symbolic and Spatial Data
Data Mining and Knowledge Discovery via Logic-Based Methods: Theory, Algorithms, and Applications
Data Mining and Knowledge Discovery via Logic-Based Methods: Theory, Algorithms, and Applications
On generating FC3 fuzzy rule systems from data usingevolution strategies
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
On the evidential reasoning algorithm for multiple attribute decision analysis under uncertainty
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Belief rule-base inference methodology using the evidential reasoning Approach-RIMER
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Optimization Models for Training Belief-Rule-Based Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Structure learning for belief rule base expert system: A comparative study
Knowledge-Based Systems
A novel belief rule base representation, generation and its inference methodology
Knowledge-Based Systems
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A belief rule-based inference approach and its corresponding optimization algorithm deal with a rule-base with a belief structure called a belief rule base (BRB) that forms a basis in the inference mechanism. In this paper, a new learning method is proposed based on the given sample data for optimally generating a consistent BRB. The focus is given on the consistency of BRB knowing that the consistency conditions are often violated if the system is generated from real world data. The measurement of BRB inconsistency is incorporated in the objective function of the optimization algorithm. This process is formulated as a non-linear constraint optimization problem and solved using the optimization tool provided in MATLAB. A numerical example is demonstrated the effectiveness of the proposed algorithm.