Computational Intelligence in Knowledge Technology
نویسندگان
چکیده
The first paper by Polkowski and Artiemjew, entitled “On Knowledge Granulation and Applications to Classifier Induction in the Framework of Rough Mereology” presents basic ideas of rough mereology and a description of basic similarity measures called rough inclusions along with the idea of granulated data sets. It then discusses how to construct classifiers from granular data and obtain results of granular classification on real data sets.
منابع مشابه
Sports Result Prediction Based on Machine Learning and Computational Intelligence Approaches: A Survey
In the current world, sports produce considerable statistical information about each player, team, games, and seasons. Traditional sports science believed science to be owned by experts, coaches, team managers, and analyzers. However, sports organizations have recently realized the abundant science available in their data and sought to take advantage of that science through the use of data mini...
متن کاملA hybrid computational intelligence model for foreign exchange rate forecasting
Computational intelligence approaches have gradually established themselves as a popular tool for forecasting the complicated financial markets. Forecasting accuracy is one of the most important features of forecasting models; hence, never has research directed at improving upon the effectiveness of time series models stopped. Nowadays, despite the numerous time series forecasting models propos...
متن کاملComputational Intelligence in Decision Making
This special issue is dedicated to the Fourth International Conference on Rough Sets and Knowledge Technology (RSKT 2009) held in Gold Coast, Australia, July 14-16, 2009. It contains 86 final accepted papers from 229 online submissions for RSKT2009. After peer review, the guess editors accepted 10 revised and extended papers of RSKT2009 to reflect the current development of computational intell...
متن کاملMulticast Routing in Wireless Sensor Networks: A Distributed Reinforcement Learning Approach
Wireless Sensor Networks (WSNs) are consist of independent distributed sensors with storing, processing, sensing and communication capabilities to monitor physical or environmental conditions. There are number of challenges in WSNs because of limitation of battery power, communications, computation and storage space. In the recent years, computational intelligence approaches such as evolutionar...
متن کاملON A LOSSY IMAGE COMPRESSION/RECONSTRUCTION METHOD BASED ON FUZZY RELATIONAL EQUATIONS
The pioneer work of image compression/reconstruction based onfuzzy relational equations (ICF) and the related works are introduced. TheICF regards an original image as a fuzzy relation by embedding the brightnesslevel into [0,1]. The compression/reconstruction of ICF correspond to thecomposition/solving inverse problem formulated on fuzzy relational equations.Optimizations of ICF can be consequ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Int. J. Computational Intelligence Systems
دوره 2 شماره
صفحات -
تاریخ انتشار 2009