نتایج جستجو برای: closeness similarity

تعداد نتایج: 112659  

2014
Santosh Kumar Sahu Anoop Kumar Sahu Saurav Datta Siba Shankar Mahapatra

The resilient supplier selection is a complex multi-criteria decisionmaking problem involving both quantitative and qualitative factors which may be in conflict and may also be uncertain. In this context, a fuzzy based Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method has been proposed to deal with inaccurate, incomplete and imperfect information of expert judgment....

2015
Ryan Dougherty

As an example of “big data,” we consider a repository of Arctic sea ice concentration data collected from satellites over the years 1979-2005. The data is represented by a graph, where vertices correspond to measurement points, and an edge is inserted between two vertices if the Pearson correlation coefficient between them exceeds a threshold. We investigate new questions about the structure of...

2007
Sergio Alonso Enrique Herrera-Viedma Francisco Javier Cabrerizo Carlos Porcel Antonio Gabriel López-Herrera

In the resolution of group decision making problems where the consensus process can not be held face to face by the experts it is usually difficult for them to be able to identify the closeness of the opinions of the rest of the experts, and thus, it is difficult to have a clear view of the current state of the consensus process. In this paper we present a tool that creates consensus diagrams t...

Journal: :Computational Statistics & Data Analysis 2009
Bénédicte Briand Gilles R. Ducharme Vanessa Parache Catherine Mercat-Rommens

It has been recognized that Classification trees (CART) are unstable; a small perturbation in the input variables or a fresh sample can lead to a very different classification tree. Some approaches exist that try to correct this instability. However, their benefits can, at present, be appreciated only qualitatively. A similarity measure between two classification trees is introduced that can me...

2011
Gong Cheng Saisai Gong Yuzhong Qu

When thousands of vocabularies having been published on the Semantic Web by various authorities, a question arises as to how they are related to each other. Existing work has mainly analyzed their similarity. In this paper, we inspect the more general notion of relatedness, and characterize it from four angles: well-defined semantic relatedness, lexical similarity in contents, closeness in expr...

2012
Shuguang Han Daqing He Jiepu Jiang Zhen Yue Wei Jeng

In this report, we described the IRIS-IPS, an interactive people search system for HCIR 2012 data challenge. IRISIPS can recommend candidates from three different aspects, i.e. the content based relevance, the candidates’ authority rank and the social similarity. The social similarity is measured by the closeness between a candidate and the support entity list. The default the support entity li...

2013
Faiza Belbachir Mohand Boughanem Lynda Zaoui

This article describes an approach to search relevant documents to the query and expressing an opinion. To detect if a document is opinionated (i.e; contain subjective information), we suggest to compare it with sources of information that contain subjective information. The intuition behind it is the following one, a document having a strong similarity with sources of opinions have an opinion....

2012
Pew-Thian Yap Dinggang Shen

In this paper, we study the effectiveness of the concurrent utilization of spatial, angular, and radiometric (SAR) information for denoising diffusion-weighted data. SAR filtering smooths diffusion-weighted images while at the same time preserves edges by means of nonlinear combination of nearby and similar signal values. The method is noniterative, local, and simple. It combines diffusion sign...

2011
Joaquín Salas Carlo Tomasi

We present a strategy that combines color and depth images to detect people in indoor environments. Similarity of image appearance and closeness in 3D position over time yield weights on the edges of a directed graph that we partition greedily into tracklets, sequences of chronologically ordered observations with high edge weights. Each tracklet is assigned the highest score that a Histograms-o...

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