The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The cluster analysis deals with the problems of organization of a collection of data objects into clusters based on similarity. It is also known as the unsupervised classification of objects and has found many applications in different areas. An important component of a clustering algorithm is the distance measure which is used to find the similarity between data objects. K-means is one of the most...
This study proposes a novel seeded region growing based image segmentation method for both color and gray level images. The proposed fuzzy edge detection method, that only detects the connected edge, is used with fuzzy image pixel similarity to automatically select the initial seeds. The fuzzy distance is used to determine the difference between the pixel and region in the consequent regions growing,...
A methodology for construction of models using genuine expressions of natural language, namely the so called evaluative linguistic expressions is presented. A sophisticated formal theory of their meaning provides us a tool with a great application potential. These expressions occur also in conditional clauses of natural language which are gathered into linguistic descriptions, for example, of complex...
Semantic relatedness measures provide a means to determine how closely related two concepts may or may not be. In the area of ontology alignment, many lexical-based relatedness measures have been successfully applied within the realm of domain ontologies. The alignment initiative, however, has not included all measures of relatedness. More generic measures of relatedness, such as meronomy-based, have...
We propose a new solution to a ranking oriented multi-criteria decision making problem for the alternatives expressed via Atanassov's intuitionistic fuzzy sets (A-IFSs, for short). We show that the new solution better fulfills our expectations than methods proposed in the literature which fail in some situations.
An application of fuzzy dynamic integrated judgment in cotton allocation can be found in Zhao, Peng, and Cheng. Often applications in which the fuzzy integrated judgment has been successfully used were turned out to be quite effective. How to decide a fuzzy weight set is an inverse operation of fuzzy integrated judgment. Nonetheless, the fuzzy weight set that stands for the experience and the technology...
Particle swarm optimization is a computational learning technique designed to find a global and optimal solution upon or within a function. The output, usually singular, is characteristically accurate as the nature of the system is to maintain a balance of convergence and sample diversity. This paper aims to introduce the process of using a multi-level evaluation approach of particle swarm optimization...
When computing a square root, computers still, in effect, use an iterative algorithm developed by the Babylonians millennia ago. This is a very unusual phenomenon, because for most other computations, better algorithms have been invented - even division is performed, in the computer, by an algorithm which is much more efficient that division methods that we have all learned in school. What is the...
E-commerce became very popular in recent years because of the great success achieved by some applications such as online auctions. However, currently the trend is that users of these portals execute more transactions in direct shopping than in online auctions and, probably because of the beginning of many of such portals as auctioning sites, their effectiveness decreases when searching for products...
An important trend for e-commerce sites is to be able to provide a personalized experience for the consumer, and there has been an increasing research interest in Web usage mining techniques to that end. One of the current problems of Web usage mining deals with privacy and anonymity. The data it uses, contains sensitive information that should be protected. We introduce the microaggregation of Web...
In this paper, some researches on distances of interval-valued fuzzy sets are made and some properties of metric space with respect to these distances are discussed.
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.