Conservative and Creative Strategies for the Refinement of Scoring Rules
نویسندگان
چکیده
In knowledge engineering research the refinement of manually developed intelligent systems is still one of the key issues. Since scoring rules are an intuitive and easy to implement knowledge representation they are suitable for the manual development of knowledge bases. In this paper, we present a conservative and a creative strategy for the refinement of scoring rule bases adapting existing rule weights and inducing new rules, respectively. The usefulness of the approach is demonstrated by a case study with a reasonably sized rule base from the biological domain.
منابع مشابه
Conservative and Creative Strategies for the Re nement of Scoring Rules
In knowledge engineering research the re nement of manually developed intelligent systems is still one of the key issues. Since scoring rules are an intuitive and easy to implement knowledge representation they are suitable for the manual development of knowledge bases. In this paper, we present a conservative and a creative strategy for the re nement of scoring rule bases adapting existing rul...
متن کاملReview of Torrance Test of Creative Thinking Figural Form A Scoring in Iran
Torrance creativity tests are widely and continuously used in educational settings and are among the most popular tests of divergent thinking. This study was conducted to determine the originality score for the answers of Figural Torrance Tests of Creative Thinking on Iranian students. For this purpose, this test was performed on 585 primary school students in Sabzevar. After excluding the shee...
متن کاملGuessing in Multiple Choice Questions: Challenges and Strategies
Introduction: Guessing is one of the most challenging issues in multiple choice questions. Several strategies, such as negative scoring, have been suggested for preventing students from choosing the right answer just by chance. However, there is no general agreement on using such strategies. The aim of this study was to review the scoring methods which are used for reducing guessing, and evalua...
متن کاملEvaluating probability forecasts in terms of refinement and strictly proper scoring rules
This note gives an easily verified necessary and sufficient condition for one probability forecaster to empirically outperform another one in terms of all strictly proper scoring rules.
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 کامل