Fuzzy Multiset Model for Information Retrieval andClustering using a Kernel Function
نویسندگان
چکیده
منابع مشابه
the use of appropriate madm model for ranking the vendors of mci equipments using fuzzy approach
abstract nowadays, the science of decision making has been paid to more attention due to the complexity of the problems of suppliers selection. as known, one of the efficient tools in economic and human resources development is the extension of communication networks in developing countries. so, the proper selection of suppliers of tc equipments is of concern very much. in this study, a ...
15 صفحه اولA robust least squares fuzzy regression model based on kernel function
In this paper, a new approach is presented to fit arobust fuzzy regression model based on some fuzzy quantities. Inthis approach, we first introduce a new distance between two fuzzynumbers using the kernel function, and then, based on the leastsquares method, the parameters of fuzzy regression model isestimated. The proposed approach has a suitable performance to<b...
متن کاملUsing Multiple Related Ontologies in an Fuzzy Information Retrieval Model
With the Semantic Web progress many independently developed distinct domain ontologies have to be shared and reused by a variety of applications. The use of ontologies in information retrieval applications allows the retrieval of semantically related documents to an initial users’ query. This work presents a fuzzy information retrieval model for improving the document retrieval process consider...
متن کاملFuzzy Networks based Information Retrieval Model
We describe an Information Retrieval Model based on fuzzy Networks that incorporates dependence relationships between indexing terms. We details the design and implementation of a new Information Retrieval Model based on Fuzzy Network. From this Network, most relevant term to term dependence relationships are extracted using within document terms dependency analyses. The criteria used to select...
متن کاملKernel Fusion for Image Classification Using Fuzzy Structural Information
Various kernel functions on graphs have been defined recently. In this article, our purpose is to assess the efficiency of a marginalized kernel for image classification using structural information. Graphs are built from image segmentations, and various types of information concerning the underlying image regions as well as the spatial relationships between them are incorporated as attributes ...
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: Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
سال: 2003
ISSN: 1347-7986,1881-7203
DOI: 10.3156/jsoft.15.525