A dynamic multi-criteria decision making model with bipolar linguistic term sets
H Liu, L Jiang, L Martínez - Expert Systems with Applications, 2018 - Elsevier
Real world decision making problems under uncertainty face different challenges. These
challenges include lack of information, the necessity of quick decisions, and problems may …
challenges include lack of information, the necessity of quick decisions, and problems may …
Geo-uninorm consistency control module for preference similarity network hierarchical clustering based consensus model
In order to avoid misleading decision solutions in group decision making (GDM) processes,
in addition to consensus, which is obviously desirable to guarantee that the group of experts …
in addition to consensus, which is obviously desirable to guarantee that the group of experts …
On LAMDA clustering method based on typicality degree and intuitionistic fuzzy sets
JFB Valderrama, DJLB Valderrama - Expert Systems with Applications, 2018 - Elsevier
The learning algorithm for multivariable data analysis (LAMDA) is a learning method to
group or classify quantitative and qualitative historical data. LAMDA can be applied for self …
group or classify quantitative and qualitative historical data. LAMDA can be applied for self …
Application of aggregation operators for forecasting PM10 fluctuations: From available Caribbean data sites to unequipped ones
Air pollution is a substantial issue for public health. Predicting the levels of airborne
particles, especially those originating from natural phenomena like sand mists from the …
particles, especially those originating from natural phenomena like sand mists from the …
A data-based approach using a multi-group SIR model with fuzzy subsets: application to the COVID-19 simulation in the islands of Guadeloupe
Simple Summary COVID-19 is a rapidly spreading and mutating pandemic. In the case of
some people the disease can be fatal It has been observed that weight and age are …
some people the disease can be fatal It has been observed that weight and age are …
Yager–Rybalov triple Π operator as a means of reducing the number of generated clusters in unsupervised anuran vocalization recognition
C Bedoya, J Waissman Villanova… - … and Machine Learning …, 2014 - Springer
Abstract The Learning Algorithm for Multivariate Data Analysis (LAMDA) is an unsupervised
fuzzy-based classification methodology. The operating principle of LAMDA is based on …
fuzzy-based classification methodology. The operating principle of LAMDA is based on …
Two cluster validity indices for the LAMDA clustering method
JFB Valderrama, DJLB Valderrama - Applied Soft Computing, 2020 - Elsevier
The learning algorithm and multivariable data analysis (LAMDA) is an algorithm to group
quantitative and qualitative data, applying self-learning and/or directed learning. Usually …
quantitative and qualitative data, applying self-learning and/or directed learning. Usually …
Improving the additive and multiplicative consistency of hesitant fuzzy linguistic preference relations
H Liu, L Jiang, Z Xu - Journal of Intelligent & Fuzzy Systems, 2017 - content.iospress.com
The hesitant fuzzy linguistic preference relations (HFLPRs) facilitate decision makers to
express hesitant assessments in fuzzy decision making problems. It is important for the use …
express hesitant assessments in fuzzy decision making problems. It is important for the use …
Use of fuzzy sets, aggregation operators and multi agent systems to simulate COVID-19 transmission in a context of absence of barrier gestures and social distancing …
R Sébastien, M Olivier, D Andrei - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
In this paper, we present a model of Covid-19 pandemic spreading simulated by a multi-
agent system and using fuzzy sets. This paper focuses on two risk factors: age and body …
agent system and using fuzzy sets. This paper focuses on two risk factors: age and body …
On the reinforcement of uninorms and absorbing norms
H Le Capitainé, C Frélicot - 2016 - hal.science
Aggregation operators Reinforcement... We propose a n-ary extension of absorbing norms,
defined with the help of generative functions, and its relationship with additive generating …
defined with the help of generative functions, and its relationship with additive generating …