Smooth Extensions of Fuzzy If-Then Rule Bases
نویسنده
چکیده
منابع مشابه
Chaining Syllogism Applied to Fuzzy IF-THEN Rules and Rule Bases
This paper presents a new approach to show the validity of the chaining syllogism for fuzzy IF-THEN rules and rule bases. Based on this approach new conditions are given on which the deduction scheme holds.
متن کاملFuzzy Attribute Logic: Attribute Implications, Their Validity, Entailment, and Non-redundant Basis∗
We present results related to if-then rules and extraction of if-then rules from data tables with fuzzy attibutes. We provide basic definitions and results related to validity of if-then rules, semantic entailment, non-redundant bases, automatic generation of non-redundant bases, and relationships to concept lattices over data with fuzzy attributes.
متن کاملFuzzy Apriori Rule Extraction Using Multi-Objective Particle Swarm Optimization: The Case of Credit Scoring
There are many methods introduced to solve the credit scoring problem such as support vector machines, neural networks and rule based classifiers. Rule bases are more favourite in credit decision making because of their ability to explicitly distinguish between good and bad applicants.In this paper multi-objective particle swarm is applied to optimize fuzzy apriori rule base in credit scoring. ...
متن کاملFuzzy Apriori Rule Extraction Using Multi-Objective Particle Swarm Optimization: The Case of Credit Scoring
There are many methods introduced to solve the credit scoring problem such as support vector machines, neural networks and rule based classifiers. Rule bases are more favourite in credit decision making because of their ability to explicitly distinguish between good and bad applicants.In this paper multi-objective particle swarm is applied to optimize fuzzy apriori rule base in credit scoring. ...
متن کاملFuzzy Decision Diagrams for the Representation, Analysis and Optimization of Rule Bases
When no expert knowledge is available, fuzzy if-then rules may be extracted from examples of performance of a system. For this, an a priori decision on the number of linguistic terms of the linguistic variables may be required. This may induce a “rigid granularity“, usually finer than that actually required by the system. Fuzzy Decision Diagrams are introduced as an efficient data structure to ...
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تاریخ انتشار 2004