Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/40333
Title: SysSensory: a web based decision support system for sensory analysis
Author: Alvelos, Helena
Teixeira, Leonor
Ramos, Ana Luísa
Xambre, Ana Raquel
Keywords: Decision Support System
Food Industry
Information Visualization
Products’ Evaluation
Sensory Analysis
Tasters’ Assessment
Issue Date: 2020
Publisher: IGI Global
Abstract: Sensory analysis is an area of the food industry to evaluate products' organoleptic characteristics. It encompasses a tasting process that produces large amounts of data used both in decisions about the products and to evaluate the tasters. In this context, some tools that usually support Industrial Engineering processes, can help making more reliable and timely decisions. The aim of this work is then to present a decision support system – SysSensory – developed to help food companies' deal with that data, by means of collecting, processing and visualizing it. Therefore, some statistical techniques incorporated in the system are explained, the specification of the system is described and some of the system's user interfaces are presented. SysSensory is considered a valuable contribute for researchers on Sensory Analysis, Statistics, as well as Information Technologies, and also for the food industry, for which it can be an innovative tool.
Peer review: yes
URI: http://hdl.handle.net/10773/40333
DOI: 10.4018/JITR.2020040104
ISSN: 1938-7857
Publisher Version: https://www.igi-global.com/article/syssensory/249217
Appears in Collections:CIDMA - Artigos
DEGEIT - Artigos
IEETA - Artigos
GOVCOPP - Artigos
PSG - Artigos

Files in This Item:
File Description SizeFormat 
ArtigoFinal.pdf741.13 kBAdobe PDFrestrictedAccess


FacebookTwitterLinkedIn
Formato BibTex MendeleyEndnote Degois 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.