SISTEMAS DE RECOMENDACIÓN PARA LA TOMA DE DECISIONES. ESTADO DEL ARTE: SISTEMAS DE RECOMENDACIÓN PARA LA TOMA DE DECISIONES

BB Fonseca, OM Cornelio - UNESUM-Ciencias. Revista …, 2022 - revistas.unesum.edu.ec
Resumen Los Sistemas de Recomendación (SR) son técnicas de filtrado de información
que nacen con el objetivo de facilitar o asistir al usuario en la toma de una decisión. El …

An integrated approach for failure mode and effects analysis based on fuzzy best-worst, relative entropy, and VIKOR methods

Z Tian, J Wang, H Zhang - Applied Soft Computing, 2018 - Elsevier
In general, analysis of failure modes and their effects requires a group of experts to tackle
substantial uncertainties associated with the risk evaluation process. To date, to overcome …

A multi-phase QFD-based hybrid fuzzy MCDM approach for performance evaluation: A case of smart bike-sharing programs in Changsha

Z Tian, J Wang, J Wang, H Zhang - Journal of Cleaner Production, 2018 - Elsevier
The smart bike-sharing program (BSP), which is a novel bike-sharing mode of traditional
BSP, has become popular in many cities in China. However, most BSP studies focus only on …

The linguistic summarization and the interpretability, scalability of fuzzy representations of multilevel semantic structures of word-domains

CH Nguyen, TL Pham, TN Nguyen, CH Ho… - Microprocessors and …, 2021 - Elsevier
The effect of the linguistic (L-) summarization mined from a given dataset D by a human-
made method M strongly depends on the fuzzy sets constructed to represent the L-words of …

A text summarization method based on fuzzy rules and applicable to automated assessment

FB Goularte, SM Nassar, R Fileto, H Saggion - Expert Systems with …, 2019 - Elsevier
In the last two decades, the text summarization task has gained much importance because
of the large amount of online data, and its potential to extract useful information and …

Systematic literature review of fuzzy logic based text summarization

A Kumar, A Sharma - Iranian journal of fuzzy systems, 2019 - ijfs.usb.ac.ir
Information Overload\rq is not a new term but with the massive development in technology
which enables anytime, anywhere, easy and unlimited access; participation\& publishing of …

[HTML][HTML] PLENARY: Explaining black-box models in natural language through fuzzy linguistic summaries

K Kaczmarek-Majer, G Casalino, G Castellano… - Information …, 2022 - Elsevier
We introduce an approach called PLENARY (exPlaining bLack-box modEls in Natural
lAnguage thRough fuzzY linguistic summaries), which is an explainable classifier based on …

[HTML][HTML] Explaining smartphone-based acoustic data in bipolar disorder: Semi-supervised fuzzy clustering and relative linguistic summaries

K Kaczmarek-Majer, G Casalino, G Castellano… - Information …, 2022 - Elsevier
Smartphones enable to collect large data streams about phone calls that, once combined
with Computational Intelligence techniques, bring great potential for improving the …

Probabilistic linguistic multi-criteria decision-making based on evidential reasoning and combined ranking methods considering decision-makers' psychological …

ZP Tian, RX Nie, JQ Wang - Journal of the Operational Research …, 2020 - Taylor & Francis
This study aims to develop an integrated approach for solving probabilistic linguistic multi-
criteria decision-making (MCDM) problems. This study first reveals the limitations in the …

Signed distance-based consensus in multi-criteria group decision-making with multi-granular hesitant unbalanced linguistic information

Z Tian, J Wang, H Zhang, T Wang - Computers & Industrial Engineering, 2018 - Elsevier
This study aims to deal with hesitant fuzzy linguistic multi-criteria group decision-making
(MCGDM) problems with multi-granular unbalanced linguistic term sets. Firstly, a signed …