Controlling with words using automatically identified fuzzy Cartesian granule feature models
نویسندگان
چکیده
منابع مشابه
Controlling with words using automatically identified fuzzy Cartesian granule feature models
Traditionally fuzzy controllers have been acquired directly from experts in the field, however recently people have relied upon various learning strategies that automatically acquire such controllers from example data and background knowledge. Here we present a new approach to representing and acquiring controllers based upon Cartesian granule features – multidimensional features formed over th...
متن کاملModelling with Words using Cartesian Granule Features
The order of the authors is strictly alphabetical. Correspondence can be addressed to any of the authors. Supported by European Community TMR Program. Abstract We present Cartesian granule features, a new multidimensional feature formed over the cross product of fuzzy partition labels. Traditional fuzzy modelling approaches, mainly use flat features(one dimensional features) and, consequently s...
متن کاملConstructive Induction of Fuzzy Cartesian Granule Feature Models using Genetic Programming with applications
Cartesian granule features are derived features that are formed over the cross product of words that linguistically partition the universes of the constituent input features. Both classification and prediction problems can be modelled quite naturally in terms of Cartesian granule features incorporated into rule-based models. The induction of Cartesian granule feature models involves discovering...
متن کاملConstructive Induction of Fuzzy Cartesian Granule Feature Models using Genetic Programming
The G_DACG (Genetic Discovery of Additive Cartesian Granule feature models) constructive induction algorithm is presented as a means of automatically identifying rulebased Cartesian granule feature models from example data. G_DACG combines the powerful search capabilities of genetic programming with a rather novel and cheap fitness function based upon the semantic separation of learnt concepts ...
متن کاملTransitioning from Recognition to Understanding in Vision using Additive Cartesian Granule Feature Models
Here we propose an approach to object recognition that facilitates the transition from recognition to understanding. The proposed approach begins by segmenting the images into regions using standard image processing approaches, which are subsequently classified using a discovered fuzzy Cartesian granule feature classifier. Understanding is made possible through the transparent and succinct natu...
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: International Journal of Approximate Reasoning
سال: 1999
ISSN: 0888-613X
DOI: 10.1016/s0888-613x(99)00016-x