Analogical versus rule-based classification
نویسندگان
چکیده
منابع مشابه
Analogical Classification: A Rule-Based View
Analogical proportion-based classification methods have been introduced a few years ago. They look in the training set for suitable triples of examples that are in an analogical proportion with the item to be classified, on a maximal set of attributes. This can be viewed as a lazy classification technique since, like k-nn algorithms, there is no static model built from the set of examples. The ...
متن کاملA Margin-based Model with a Fast Local Searchnewline for Rule Weighting and Reduction in Fuzzynewline Rule-based Classification Systems
Fuzzy Rule-Based Classification Systems (FRBCS) are highly investigated by researchers due to their noise-stability and interpretability. Unfortunately, generating a rule-base which is sufficiently both accurate and interpretable, is a hard process. Rule weighting is one of the approaches to improve the accuracy of a pre-generated rule-base without modifying the original rules. Most of the pro...
متن کاملRule-based versus Principle-based Regulatory Compliance
There is an ongoing debate in law and accounting about the relative merits of principle-based versus rule-based regulatory systems. In this paper we characterize what kind of reasoning underlies the two styles of regulation. We adapt an original account of Verheij et al (1998) to take aspects of the implementation context into account, such as the process of adoption of a new norm and the roles...
متن کاملEffect of rule weights in fuzzy rule-based classification systems
This paper examines the effect of rule weights in fuzzy rule-based classification systems. Each fuzzy IF–THEN rule in our classification system has antecedent linguistic values and a single consequent class. We use a fuzzy reasoning method based on a single winner rule in the classification phase. The winner rule for a new pattern is the fuzzy IF–THEN rule that has the maximum compatibility gra...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Memory & Cognition
سال: 1995
ISSN: 0090-502X,1532-5946
DOI: 10.3758/bf03197250