Classifying qualitative information using centroid based methods
نویسندگان
چکیده
In this paper we consider the problem of classification of qualitative data. We present an approach to overcome several difficulties which show SAHN (sequential, agglomerative, hierarchic, nonoverlapping) clustering methods to classify qualitative data when using centroids to compute similarities between pairs of classes. The approach is based on a recently proposed class of qualitative weighted average functions.
منابع مشابه
Two New Methods of Boundary Correction for Classifying Textural Images
With the growth of technology, supervising systems are increasingly replacing humans in military, transportation, medical, spatial, and other industries. Among these systems are machine vision systems which are based on image processing and analysis. One of the important tasks of image processing is classification of images into desirable categories for the identification of objects or their sp...
متن کاملMultiple attribute group decision making with linguistic variables and complete unknown weight information
Interval type-2 fuzzy sets, each of which is characterized by the footprint of uncertainty, are a very useful means to depict the linguistic information in the process of decision making. In this article, we investigate the group decision making problems in which all the linguistic information provided by the decision makers is expressed as interval type-2 fuzzy decision matrices where each of ...
متن کاملModeling A Generic Web Classification System Using Design Patterns
In order to save time in extracting specific information from high volume of data in web documents, this paper proposes an architectural model of generic web document classification system using design patterns for classifying web documents. This work implements two classification techniques for classifying Thai web documents, namely centroid classification and neural network classification, ba...
متن کاملFuzzy Centroid-Based Method Applied to Customer Requirements Ranking in Diba Fiberglass Company
The purpose of this study is to introduce an application of fuzzy centroid-based approach to ranking the customer requirements using QFD with competition considerations for Diba Fiberglass, an Iranian Company. The illustrated approach, not only focuses on the normal fuzzy numbers, but also considers the non-normal fuzzy numbers to capture the true customer requirements. To this end, first, we p...
متن کاملUsing Fuzzy LR Numbers in Bayesian Text Classifier for Classifying Persian Text Documents
Text Classification is an important research field in information retrieval and text mining. The main task in text classification is to assign text documents in predefined categories based on documents’ contents and labeled-training samples. Since word detection is a difficult and time consuming task in Persian language, Bayesian text classifier is an appropriate approach to deal with different...
متن کامل