Featured Research

from universities, journals, and other organizations

New system increases reliability of opinion polls

Date:
April 27, 2011
Source:
Facultad de Informática de la Universidad Politécnica de Madrid
Summary:
Researchers in Spain have developed a fuzzy neural network that uses a numerical and categorical imputation method to reconstruct incomplete datasets. This network achieves substantially better results than the imputation methods now in use in opinion polling.

Researchers from the Universidad Politécnica de Madrid's Facultad de Informática have developed a fuzzy neural network that uses a numerical and categorical imputation method to reconstruct incomplete datasets. This network achieves substantially better results than the imputation methods now in use in opinion polling.

The research results have been published in the journal Neural Computing & Applications.

Missing data is a widespread problem in most surveys conducted in a host of domains. Inaccuracy in political opinion polling can be mostly put down to how unanswered questions are processed. Imputation is the most commonly used technique for accounting for missing information. Imputation methods calculate and add the missing data to the sample to get a more complete dataset. Imputation methods can infer numerical and categorical data.

90% reliability

The researchers Jesús Cardeñosa, of the Artificial Intelligence Department at the Facultad de Informática, and Pilar Rey del Castillo, of the Institute of Fiscal Studies at the Spanish Ministry of Economics, have modified Gabrys and Bargiela's numerical imputation method to infer categorical data.

With this system, imputation can, for example, determine the voting intention of a person that has not answered all the opinion poll questions with near 90% reliability. This is a substantial improvement on current methods. Other potential applications for this neural network are medical diagnosis or surveying using categorical variables.

The first step of this new imputation method is to define the distances between categories using fuzzy logic. With the support of the neural network that learns from each case, it then determines where each category is located within the different dataset spaces. Finally, it extends the network architecture to all the data and processes the missing data.


Story Source:

The above story is based on materials provided by Facultad de Informática de la Universidad Politécnica de Madrid. Note: Materials may be edited for content and length.


Journal Reference:

  1. Pilar Rey-del-Castillo, Jesús Cardeñosa. Fuzzy min–max neural networks for categorical data: application to missing data imputation. Neural Computing and Applications, 2011; DOI: 10.1007/s00521-011-0574-x

Cite This Page:

Facultad de Informática de la Universidad Politécnica de Madrid. "New system increases reliability of opinion polls." ScienceDaily. ScienceDaily, 27 April 2011. <www.sciencedaily.com/releases/2011/04/110426071145.htm>.
Facultad de Informática de la Universidad Politécnica de Madrid. (2011, April 27). New system increases reliability of opinion polls. ScienceDaily. Retrieved July 24, 2014 from www.sciencedaily.com/releases/2011/04/110426071145.htm
Facultad de Informática de la Universidad Politécnica de Madrid. "New system increases reliability of opinion polls." ScienceDaily. www.sciencedaily.com/releases/2011/04/110426071145.htm (accessed July 24, 2014).

Share This




More Computers & Math News

Thursday, July 24, 2014

Featured Research

from universities, journals, and other organizations


Featured Videos

from AP, Reuters, AFP, and other news services

Creative Makeovers for Ugly Cellphone Towers

Creative Makeovers for Ugly Cellphone Towers

AP (July 24, 2014) — Mobile phone companies and communities across the country are going to new lengths to disguise those unsightly cellphone towers. From a church bell tower to a flagpole, even a pencil, some towers are trying to make a point. (July 24) Video provided by AP
Powered by NewsLook.com
Robot Parking Valet Creates Stress-Free Travel

Robot Parking Valet Creates Stress-Free Travel

AP (July 23, 2014) — 'Ray' the robotic parking valet at Dusseldorf Airport in Germany lets travelers to avoid the hassle of finding a parking spot before heading to the check-in desk. (July 23) Video provided by AP
Powered by NewsLook.com
Facebook Earnings Put Smile on Investors Faces

Facebook Earnings Put Smile on Investors Faces

Reuters - Business Video Online (July 23, 2014) — Facebook earnings beat forecasts- with revenue climbing 61 percent. Bobbi Rebell reports. Video provided by Reuters
Powered by NewsLook.com
StubHub Caught in Global Cyber Crime Ring

StubHub Caught in Global Cyber Crime Ring

Reuters - Business Video Online (July 23, 2014) — eBay's StubHub is caught up in an international cyber crime ring stretching from North America to Europe. Conway G. Gittens reports. Video provided by Reuters
Powered by NewsLook.com

Search ScienceDaily

Number of stories in archives: 140,361

Find with keyword(s):
 
Enter a keyword or phrase to search ScienceDaily for related topics and research stories.

Save/Print:
Share:  

Breaking News:
from the past week

In Other News

... from NewsDaily.com

Science News

Health News

Environment News

Technology News



Save/Print:
Share:  

Free Subscriptions


Get the latest science news with ScienceDaily's free email newsletters, updated daily and weekly. Or view hourly updated newsfeeds in your RSS reader:

Get Social & Mobile


Keep up to date with the latest news from ScienceDaily via social networks and mobile apps:

Have Feedback?


Tell us what you think of ScienceDaily -- we welcome both positive and negative comments. Have any problems using the site? Questions?
Mobile iPhone Android Web
Follow Facebook Twitter Google+
Subscribe RSS Feeds Email Newsletters
Latest Headlines Health & Medicine Mind & Brain Space & Time Matter & Energy Computers & Math Plants & Animals Earth & Climate Fossils & Ruins