bibtype J - Journal Article
ARLID 0564675
utime 20230321162417.6
mtime 20221129235959.9
SCOPUS 85140292178
WOS 000880093300017
DOI 10.1016/j.knosys.2022.109963
title (primary) (eng) A methodology for controlling the information quality in interval-valued fusion processes: Theory and application
specification
page_count 22 s.
media_type P
serial
ARLID cav_un_epca*0257173
ISSN 0950-7051
title Knowledge-Based System
volume_id 258
publisher
name Elsevier
keyword (a,b)-Aggregation functions
keyword (a,b)-Fusion functions
keyword n-Dimensional overlap functions
keyword t-conorms
keyword t-norms
keyword Uninorms
author (primary)
ARLID cav_un_auth*0434043
name1 Asmus
name2 T. C.
country BR
garant K
author
ARLID cav_un_auth*0330394
name1 Sanz
name2 J. A.
country ES
author
ARLID cav_un_auth*0330395
name1 Dimuro
name2 G. P.
country BR
author
ARLID cav_un_auth*0275658
name1 Fernandez
name2 J.
country ES
author
ARLID cav_un_auth*0101163
name1 Mesiar
name2 Radko
institution UTIA-B
full_dept (cz) Ekonometrie
full_dept Department of Econometrics
department (cz) E
department E
full_dept Department of Econometrics
share 20
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0271524
name1 Bustince
name2 H.
country ES
source
url http://library.utia.cas.cz/separaty/2022/E/mesiar-0564675.pdf
source
url https://www.sciencedirect.com/science/article/pii/S0950705122010565?via%3Dihub
cas_special
abstract (eng) An important problem faced when dealing with imperfect information in fusion processes the uncer-tainty regarding values of the membership degrees to be employed in fuzzy modeling. In this scenario, one can apply interval-valued (iv) fuzzy sets, in which the membership degrees are represented by intervals. A recurrent issue is the situation in which the quality of information carried by the intervals, expressed by their widths, suffers degradation during the fusion process. So, the main objective of this paper is to develop a general framework to construct iv-fusion functions whose outputs conserve the information quality of the operated intervals. To achieve that, first, extend important concepts such as width-limiting functions and width-limited iv-functions to the n-dimensional context. Then, we present a characterization for any subclass of increasing fusion function by their set of properties, followed by the interval extension of such characterization to obtain classes of width-limited iv-fusion functions. We show that our methodology is general enough to retrieve several classes of iv-aggregation functions from the literature. Two approaches for constructing width-limited iv-fusion functions are also presented, which enables the application of different subclasses of width-limited iv-fusion functions in fusion/aggregation processes with imperfect information. Finally, we present a case study on a classification problem. Specifically, we use IVTURS, a state-of-the-art iv-fuzzy rule-based classification system, and a particular subclass of width-limited iv-fusion functions (n-dimensional width-limited iv-overlap functions), showing that the control of the information quality through width limitation significantly enhances the accuracy of the classifier.
result_subspec WOS
RIV BA
FORD0 10000
FORD1 10200
FORD2 10201
reportyear 2023
num_of_auth 6
inst_support RVO:67985556
permalink https://hdl.handle.net/11104/0337894
confidential S
article_num 109963
mrcbC86 n.a. Article Computer Science Artificial Intelligence
mrcbC91 C
mrcbT16-e COMPUTERSCIENCEARTIFICIALINTELLIGENCE
mrcbT16-j 1.443
mrcbT16-s 2.065
mrcbT16-D Q2
mrcbT16-E Q1
arlyear 2022
mrcbU14 85140292178 SCOPUS
mrcbU24 PUBMED
mrcbU34 000880093300017 WOS
mrcbU63 cav_un_epca*0257173 Knowledge-Based System 0950-7051 1872-7409 Roč. 258 č. 1 2022 Elsevier