Certificate is available here.

Final program is available here.

Book is available here.

List of plenary talks:

  • Humberto Bustince, Department of Automatics and Computation, Public University of Navarra, Pamplona (Spain).
  • João Paulo Carvalho, Department of Electrical Engineering and Computation, University of Lisbon, Lisbon (Portugal).
  • Laecio Carvalho, Instituto de Matemática, Estatística e Computação Científica (IMECC), Universidade Estadual de Campinas (Unicamp), Campinas (Brazil).
  • Yurilev Chalco, Instituto de Alta Investigación, Universidad de Tarapacá, Arica (Chile).
  • Baker Kearfott, Mathematics Deaprtment, University of Luoisiana at Lafayette, Lafayette (USA).
  • Igor Škrjanc, Faculty of Electrical Engineering, University of Ljubljana, Ljubljana (Slovenia).


                                    Final Programme and Timetable

Schedule July 4th, 2018


July 5th, 2018


July 6th, 2018


08:20h 08:50h Registration Registration ——
08:50h 9:30h Opening Ceremony Technical Oral Sessions



Technical Oral Sessions



9:30h 10:30h Plenary Talk WM-1

(Prof. Humberto Bustince)

10:30h 11:00h Coffee Break Coffee Break Coffee Break
11:00h 12:00h Plenary Talk WM-2

(Prof. Laécio Carvalho)

Plenary Talk TM

(Prof. Yurilev Chalco)

Plenary Talk FM

(Prof. Igor Škrjanc)

12:00h 13:30h Lunch Time Lunch Time Lunch Time
13:30h 15:10h Technical Oral Sessions



Technical Oral Sessions



Technical Oral Sessions



15:10h15:40h Coffee Break Coffee Break Coffee Break
15:40h 16:40h Plenary Talk WA

(Prof. João Paulo Carvalho )

Plenary Talk TA

(Prof. Baker Kearfott)

Closing Ceremony
16:40h 18:20h —————– Technical Oral Sessions



17:30h 19:00h Welcome Reception Cocktail ———-
19:00h 22:00h ——- Conference Dinner

5th Brazilian Congress on Fuzzy Systems (CBSF’2018)

  • 37th North American Fuzzy Information Processing Society Meeting (NAFIPS 2018)
  • July 4-6, 2018Fortaleza, Ceará, Brazil


                      July 4th, 2018 (Wednesday)

Time Schedule Place Activity
08:20h– 08:50h Registration Desk Registration and distribution of conference material
08:50h– 09:30h Room 1 Opening Ceremony
09:30h – 10:30h Room 1 Plenary Talk WM-1

(Prof. Humberto Bustince)

10:30h – 11:00h Coffee Break
11:00h – 12:00h Room 1 Plenary Talk WM-2

(Prof. Laécio Carvalho)

12:00h– 13:30h —– Lunch Time
13:30h – 15:10h Room 1 Technical Session NAFIPS-WA1:  Fuzzy and Possibilistic Mathematical Analysis & Application 1
Room 2 Technical Session NAFIPS-WA2: Image and Signal Processing
Room 3 Technical Session CBSF-WA1: Classificação de Padrões
Room 4 Technical Session CBSF-WA2: Aplicações em Transportes e Geociências
15:10h – 15:40h —– Coffee Break
15:40h – 16:40h Room 1 Plenary Talk WA

(Prof. João Paulo Carvalho)

16:40h – 17:30h —– Transportation to Welcome Reception Place
17:30h – 19:00h Barraca Marulho Welcome Reception Cocktail
19:00h – 22:00h —– —–



Plenary Talk WM-1 (Wednesday, July 4th, 09:30h – 10:30h, Room: )

Speaker: Prof. Humberto Bustince (Public University of Navarra, Pamplona, Spain)

Title: Generalized CF1,F2  integrals and their application to image processing and classification


In this talk we present a generalization (CF1,F2) of the Choquet integral which take advantage from the distributive of the product to replace it by appropriate functions allowing for a nonlinear definition of the integral. We analyze some properties and we show how this new definition can be applied in several problems. In particular, we show how it can be used in classification to get a new fuzzy rule based classification system which behaves at the state-of-the-art one, and in image processing to develop a new class of edge detectors which are easy to implement but provide very competitive results.



Plenary Talk WM-2 (Wednesday, July 4th, 11:00h – 12:00h, Room: )

Speaker: Prof. Laécio Carvalho de Barros (University of Campinas, Brazil)

Title: On Fuzzy Derivative


By modeling an evolutionary process from an initial condition, we are considering that the process has a “memory”, that is, the future value is correlated with the present value at each instant. Fuzzy functions that consider this type of interaction are called autocorrelated fuzzy processes. In particular, when the future value is linearly correlated with the present value at each instant, we say that the fuzzy process is linearly correlated. The concept of the derivative of a function at a point is local and there are at least two distinct ways of doing it. One by means of approximation of the processes by straight lines in a neighborhood of this point, such as Leibniz-Fréchet derivative of these fuzzy processes. Another way is via the arithmetic of fuzzy numbers, more precisely, via the difference of the process between different instants, as the temporal increment goes to zero. This technique fits into the Newtonian approach. We focus on this last case, presenting some arithmetic that are characterized in two manners: from interval arithmetic and from arithmetic for interactive fuzzy (that is, via joint possibility distribution). We present a theory of fuzzy equations for this type of process, highlighting its main results. As we shall see, all derivatives that appear in the literature for fuzzy function are interactive. Nevertheless, many authors do not take this into account when adopting numerical methods to solve a Fuzzy Initial Value Problem (FIVP). Finally, we discuss the use of some fuzzy interactive derivatives in a population dynamics model.


Plenary Talk WA (Wednesday, July 4th, 15:40h – 16:40h, Room: )

Speaker: Prof. João Paulo Carvalho (University of Lisbon, Portugal)

Title: Recommender Systems: Using Fuzzy Fingerprints for “Proper” Recommendations


Most Recommender Systems rely exclusively on ratings and are known as Memory-based Collaborative Filtering systems. This is the currently dominant approach outside of academia due to the low implementation effort and service maintenance, when compared with more complex Model-based approaches, Traditional Memory-based systems have as their main goal to predict ratings, using similarity metrics to determine similarities between the users’ (or items) rating patterns. In this talk, we propose a user-based Fuzzy Collaborative Filtering approach that does not rely on rating prediction, instead leveraging on Fuzzy Fingerprints to create a novel similarity based recommendation approach. Fuzzy Fingerprints provide a concise and compact representation of users allowing the reduction of the dimensionality usually associated with user-based collaborative filtering.


                           July 4th, 2018 / Wednesday / AFTERNOON (13:30h15:10h)

Technical Session (NAFIPS – WA1: Fuzzy and Possibilistic Mathematical Analysis & Application 1) Room 1 Chair: To be defined
13:30h – 13:50h Prey-predator model under fuzzy uncertanties

Chryslayne M. Pereira, Moiseis S. Cecconello & Rodney C. Bassanezi

13:50h – 14:10h Modeling and simulation of methane dispersion in the dam of Santo Antonio – Rondônia/Brazil

Geraldo L. Diniz & Evanizio M. Menezes Jr.

14:10h – 14:30h Solution to convex variational problems with fuzzy initial condition using Zadeh’s extension

Michael M. Diniz, Luciana T. Gomes & Rodney C. Bassanezi

14:30h – 14:50h Necessary Optimality Conditions for Interval Optimization Problems with Inequality Constraints using Constrained Interval Arithmetic

Gino G. Maqui-Huamán, Geraldo Silva & Ulcilea Leal

14:50h – 15:10h Order relations, convexities, and Jensen’s integral inequalities in interval and fuzzy spaces

Tiago M. Da Costa, Yurilev Chalco-Cano, Laécio C. de Barros & Geraldo N. Silva.



Technical Session (NAFIPS – WA2: Image and Signal Processing) Room 2 Chair: To be defined
13:30h – 13:50h Color Mathematical Morphology Using a Fuzzy Color-Based Supervised Ordering

Mateus Sangalli & Marcos Eduardo Valle

13:50h – 14:10h Image processing algorithm to detect defects in optical fibers

Marcelo Mafalda, Daniel Welfer, Marco Cuadros & Daniel Gamarra.

14:10h – 14:30h Consensus image feature extraction with ordered directionally monotone functions

Cédric Marco-Detchart, Graçaliz Pereira Dimuro, Mikel Sesma-Sara, Javier Fernandez & Humberto Bustince

14:30h – 14:50h A Fuzzy Approach Towards Parking Space Occupancy Detection Using Low-Quality Magnetic Sensors

Renato Lopes Moura & Peter Sussner

14:50h – 15:10h Using the Choquet Integral in the pooling layer in deep learning networks

Camila Alves Dias, Jessica Camila Saldivia Bueno, Eduardo Nunes Borges, Silvia Silva Da Costa Botelho, Graçaliz Pereira Dimuro, Giancarlo Lucca, Javier Fernadéz, Humberto Bustince & Paulo Lilles Jorge Drews Junior


                July 5th, 2018 (Thursday)

Time Schedule Place Activity
08:20h – 08:50h Registration Desk Registration and distribution of conference material
08:50h – 10:30h Room 1 Technical Session NAFIPS-TM1:  Theoretical Developments 1
Room 2 Technical Session NAFIPS-TM2:  Pattern Classification
Room 3 Technical Session CBSF-TM1: Aplicações em Agricultura e Meio-Ambiente 1
Room 4 Technical Session CBSF-TM2: Matemática Intervalar
10:30h – 11:00h Coffee Break
11:00h – 12:00h Room 1 Plenary Talk TM

(Prof. Yurilev Chalco)

12:00h – 13:30h —– Lunch Time
13:30h – 15:10h Room 1 Technical Session NAFIPS-TA1:  Knowledge Representation and Decision Making
Room 2 Technical Session NAFIPS-TA2: Theoretical Developments 2
Room 3 Technical Session CBSF-TA1: Aplicações em Saúde e Educação
Room 4 Technical Session CBSF-TA2: Aplicações em Econometria, Ciências Atuariais e Finanças
15:10h – 15:40h —– Coffee Break
15:40h – 16:40h Room 1 Plenary Talk TA

(Prof. Baker Kearfott)

16:40h – 18:20h Room 1 Technical Session NAFIPS-TA3:  Type-2 Fuzzy Modeling in Big Data Analytics
Room 2 Technical Session NAFIPS-TA4:  Fuzzy and Possibilistic Mathematical Analysis & Application 2
Room 3 Technical Session NAFIPS-TA5:  Time Series Analysis and Forecasting
Room 4 Technical Session CBSF-TA3: Modelagem Fuzzy e Sistemas Evolutivos
17:30h – 19:00h —– —–
19:00h – 22:00h Restaurante

O Faustino

Conference Dinner


Plenary Talk TM (Thursday, July 5th, 11:00h – 12:00h, Room: )

Speaker: Prof. Yurilev Chalco Cano (Universidad de Tarapacá, Arica, Chile)

Title: Fuzzy Mathematical Analysis and Applications


Since the space of all fuzzy numbers endowed with the standard interval arithmetic (SIA) is a quasilinear space, it is not natural to extend or apply the results of mathematical analysis into fuzzy context. Moreover, it is well-known that SIA may overestimate the length of the resultant interval due tothe phenomenon of interval dependence. Since fuzzy interval arithmetic operations are fundamental in fuzzy mathematical analysis, other arithmetic are considered. In addition, some concepts, such as differentiability for interval-value functions, where it is crucial to consider a difference between fuzzy intervals, may present shortcomings if are formulated by means of SIA. In order to avoid some shortcomings caused by the phenomenon of interval dependency some additional difference operations are introduced such as the Hukuhara difference and most recently generalized Hukuhara difference. This talk presents some recent advances in fuzzy mathematical analysis, in particular, those based on new properties of fuzzy-valued functions obtained by using fuzzy arithmetic. Lastly, we discuss some emergent problems in fuzzy optimization and fuzzy differential equations.



Plenary Talk TA (Thursday, July 5th, 15:40h – 16:40h, Room: )

Speaker: Prof. Baker Kearfott (University of Luoisiana at Lafayette, Lafayette, USA)

Title: Interval Mathematics, Philosophy, Fundamentals, and Applications: Connections to and Contrast with Fuzzy Set Theory


The fundamental problem of interval computations is, given a real-valued function f (x1, . . . , xn) of n variables defined on a hyper-rectangle (interval vector) x = {(x1, . . . , xn) : xixixi, 1 ≤ in}, efficiently compute useful bounds on the range of f over x. In fuzzy computations, x represents a set of α-cuts of inputs, f represents the relation between the inputs and an output, and the range of f over x represents the corresponding α-cut of the output. We begin by reviewing the basic premises of interval arithmetic, including operations and pitfalls. We outline the diverse goals of the interval mathematics community. We then point out how interval arithmetic is commonly used in fuzzy computations. To conclude, we contrast the types of problems and underlying philosophies behind interval mathematics and fuzzy set theory.

Short Bio

Prof. Kearfott’s research interests are clustered in several areas. These include global optimization, software development and computer arithmetic, interval computations, and modeling associated with operations research problems. Specifically, one aspect of his work focuses on branch and bound algorithms for continuous global optimization, with an emphasis on accounting for roundoff error to obtain mathematically rigorous bounds. This work has grown out of an interest to understand nonlinear systems, including parametrized systems and singularities. In the operations research line, Prof. Kearfott has collaborated with the Center for Business Information Technology and a graduate student to develop a model, specific to Lafayette Parish, for pre-placement of post-emergency relief supplies; that project led the student and Prof. Kearfott to develop an extensive knowledge of transportation and facility location models. Prof. Kearfott has a single-authored monograph, has co-authored two other books, and has edited three collections of work appearing as books. Among many papers, he has published various articles in the ACM Transactions on Mathematical Software, the SIAM journal on Numerical Analysis, the SIAM journal on Scientific Computing, the Journal of Global Optimization, and Optimization Methods and Software, he is on the editorial board of Optimization Letters, and he is the managing editor of Reliable Computing. He has been active in producing an IEEE standard for interval arithmetic, and he is presently chair of the IEEE Standards Association Microprocessing Standardization Committee.




July 5th, 2018 / Thursday / MORNING (08:50h10:30h)


Technical Session (NAFIPS – TM1: Theoretical Developments 1) Room 1 Chair: To be defined
08:50h – 09:10h Crisp Fuzzy Implications

Jocivania Pinheiro, Benjamin Bedregal, Regivan Santiago & Helida Santos

09:10h – 09:30h Fuzzy Formal Concept Analysis

Abner Brito, Laécio Barros, Estevão Laureano, Fábio Bertato & Marcelo Coniglio

09:30h – 09:50h The Category of Semi-BCI Algebras

Jocivania Pinheiro, Rui Paiva & Regivan Santiago

09:50h – 10:10h Aggregation with T-norms and LexiT-norms and their connections with the Leximin Principle

Henrique Viana & João Alcântara

10:10h – 10:30h Some examples of relations between F-transforms and powerset theories

Jiří Močkoř


Technical Session (NAFIPS – TM2: Pattern Classification) Room 2 Chair: To be defined
08:50h – 09:10h Fuzzy Kernel Associative Memories with Application in Classification

Aline Cristina Souza & Marcos Eduardo Valle

09:10h – 09:30h A fuzzy C-means-based approach for selecting reference points in minimal learning machines

José Florêncio, Madson Dias, Ajalmar Rocha Neto & Amauri Souza Júnior

09:30h – 09:50h Combination of Spatial Clustering Methods Using Weighted Average Voting for Spatial Epidemiology

Laisa Sá, José Melo, Jordana Nogueira & Ronei Moraes

09:50h – 10:10h Formal Verification of a Fuzzy Rule-Based Classifier Using the Prototype Verification System

Solomon Gebreyohannes, Ali Karimoddini, Abdollah Homaifar & Albert Esterline.

10:10h – 10:30h Adaptive Fuzzy Learning Vector Quantization (AFLVQ) for time series classification

Renan Fonteles, Paulo Daving & Arthur Braga




July 5th, 2018 / Thursday / AFTERNOON (13:30h15:10h)

Technical Session (NAFIPS – TA1: Knowledge Representation and Decision Making) Room 1 Chair: To be defined
13:30h – 13:50h IoT Resources Ranking: Decision Making under Uncertainty Combining Machine Learning and Fuzzy Logic

Renato Dilli, Amanda Argou, Renata Reiser & Adenauer Yamin

13:50h – 14:10h Relevance of classes in a fuzzy partition. A study from a group of aggregation operators

Fabian Castiblanco, Javier Montero, Camilo Franco & J. Tinguaro Rodriguez

14:10h – 14:30h Forecasting Quality of Experience based on Fuzzy Time Series

Jean Araujo & Claudio Monteiro

14:30h – 14:50h Fuzzy Ontologies: State of the Art Revisited

Valerie Cross & Shangye Chen

14:50h – 15:10h Corporate Control with A Fuzzy Network. A Knowledge Engineering Application

Gustavo Perez



Technical Session (NAFIPS – TA2: Theoretical Developments 2) Room 2 Chair: To be defined
13:30h – 13:50h Characterization of Lattice-valued Restricted Equivalence Functions

Eduardo Palmeira, Benjamin Bedregal & Rogério R. De Vargas

13:50h – 14:10h (T,N)-Implications and some Functional Equations

Jocivania Pinheiro, Benjamin Bedregal, Regivan H. N. Santiago, Helida Santos & Graçaliz Dimuro

14:10h – 14:30h Equilibrium Point of Representable n-Dimensional Interval Fuzzy Negations

Ivan Mezzomo, Benjamin Bedregal & Thadeu Milfont.

14:30h – 14:50h Representing Intuitionistic Fuzzy Bi-Implications through Quantum Computing

Lucas Agostini, Samuel Feitosa, Anderson Avila, Renata Reiser, André Dubois & Maurício Pilla

14:50h – 15:10h Interval version of Generalized Atanassov’s Intuitionistic Fuzzy Index

Lidiane Costa, Mônica Matzenauer, Renata Reiser, Benjamín Bedregal & Adenauer Yamin




July 5th, 2018 / Thursday / AFTERNOON (16:40h18:20h) 

Technical Session (NAFIPS – TA3: Type-2 Fuzzy Modeling in Big Data Analytics) Room 1 Chair: To be defined
16:40h – 17:00h Interval Type Ⅱ Fuzzy Rough set Rule based Expert System to Diagnose Chronic kidney Disease

Mona Abdolkarimzadeh, M.H. Fazel Zarandi & Oscar Castillo

17:00h – 17:20h Design and Implementation of Fuzzy Expert System Based on Evolutionary Algorithms for Diagnosing the Intensity Rate of Hepatitis C

Mehrnaz Behrooz & M.H. Fazel Zarandi

17:20h – 17:40h Parameter optimization for membership functions of type-2 fuzzy controllers for autonomous mobile robots using the firefly algorithm

Marylu L. Lagunes, Oscar Castillo, Fevrier Valdez, Jose Soria & Patricia Melin.

17:40h – 18:00h Differential Evolution algorithm using a dynamic crossover parameter with fuzzy logic applied for the CEC 2015 benchmark functions

Patricia Ochoa, Oscar Castillo & José Soria

18:00h – 18:20h  ——



Technical Session (NAFIPS – TA4: Fuzzy and Possibilistic Mathematical Analysis & Application 2) Room 2 Chair: To be defined
16:40h – 17:00h Fuzzy Initial Value Problem: A Short Survey

Marina T. Mizukoshi

17:00h – 17:20h Zadeh’s Extension of the Solution of the Euler-Lagrange Equation for a Quadratic Functional Type

Jônathas D. S. Oliveira, Luciana T. Gomes & Rodney C. Bassanezi

17:20h – 17:40h Estimating the xenobiotics mixtures toxicity on aquatic organisms: the use of α-level of the fuzzy number

Magda S. Peixoto, Claudio M. Jonsson, Lourival C. Paraiba, Laécio C. Barros & Weldon A. Lodwick

17:40h – 18:00h An Approach for Solving Interval Optimization Problems

Fabiola R. Villanueva & Valeriano A. de Oliveira

18:00h – 18:20h  ——



July 5th, 2018 / Thursday / AFTERNOON (16:40h18:20h)


Technical Session (NAFIPS – TA5: Time Series Analysis and Forecasting) Room 3 Chair: To be defined
16:40h – 17:00h Stock market price forecasting using a kernel participatory learning fuzzy model

Rafael Vieira, Leandro Maciel, Rosangela Ballini & Fernando Gomide.

17:00h – 17:20h A comparative study among ANFIS, ANNs, and SONFIS for volatile time series

Jairo Andres Perdomo-Tovar, Eiber Arley Galindo-Arevalo & Juan Carlos Figueroa-García

17:20h – 17:40h A Fuzzy based recommendation system for Stock trading

Erico Augusto Nunes Pinto, Leizer Schnitman & Ricardo André Reis

17:40h – 18:00h Regularized Fuzzy Neural Network based on Or Neuron for Time Series Forecasting

Paulo Vitor Campos Souza & Luiz Carlos Bambirra Torres

18:00h – 18:20h Evolving Fuzzy Kalman Filter: A Black-Box Modeling Approach Applied to Rocket Trajectory Forecasting

Danúbia Pires & Ginalber Luiz De Oliveira Serra

                           July 6th, 2018 (Friday) 

Time Schedule Place Activity
08:20h – 08:50h —— ——
08:50h – 10:30h Room 1 Technical Session NAFIPS-FM1: Inter-Relation between Interval and Fuzzy Techniques
Room 2 Technical Session NAFIPS-FM2: Fuzzy Modeling and Applications
Room 3 Technical Session CBSF-FM1: Automação, Robótica e Sistemas Embarcados
Room 4 Technical Session CBSF-FM2: Geração de Energia Elétrica
10:30h – 11:00h Coffee Break
11:00h – 12:00h Room 1 Plenary Talk FM

(Prof. Igor Škrjanc)

12:00h – 13:30h —– Lunch Time
13:30h – 15:10h Room 1 Technical Session CBSF-FA1: Clusterização de Dados
Room 2 Technical Session CBSF-FA2: Aplicações em Agricultura e Meio-Ambiente 2
Room 3 Technical Session CBSF-FA3:  Modelagem Fuzzy e Aplicações
Room 4 Technical Session CBSF-FA4:  Desenvolvimentos Teóricos
15:10h – 15:40h Coffee Break
15:40h – 16:40h Room 1 Closing Ceremony


Plenary Talk FM (Friday, July 6th, 11:00h – 12:00h, Room: )

Speaker: Prof. Igor Škrjanc (University of Ljubljana, Ljubljana, Slovenia)

Title: Different fuzzy algorithms in monitoring, detection and control of processes

Abstract: In this talk different fuzzy and fuzzy evolving algorithms will be presented and explained. The use of fuzzy algorithms will be shown in monitoring and control examples and examples from autonomous mobile systems. An example of successful use of interval fuzzy model will be shown in the case of indoor localization system based on fingerprint principles and realized on smart phones. The proposed algorithm gives an improved precision of localization and is also computationally very effective. In mobile robotics, localization plays the key role in most applications. In most cases advanced sensor systems are required to estimate the robot pose, mostly due to the fact that there is no single and effective sensor that would directly measure the robot pose in indoor environment. A very popular sensor for this purpose is a laser range finder (LRF), which has good coverage, dense information, high accuracy and a high sampling rate. It can be used for localization purposes, map building or SLAM. Using a LRF the robot pose can be estimated by comparing a locally sensed map given by a cloud of reflection points and a known map of the environment. This comparison is usually made by comparing simple geometric features that are extracted from the LRF reflection points. In this talk a new approach, which is based on evolving paradigm, called evolving principal component clustering is applied to the laser data stream. The main reason for implementing the evolving algorithm is the unknown number of features and an on-line nature of the problem. It enables good performance, robust operation, low computational complexity and simple implementation on embedded computers. The evolving fuzzy systems can be also efficiently used in monitoring and fault detection in different processes. The implementation of evolving fuzzy detection systems will be shown for air-conditioning system and in the case of detecting the drives action during his driving based on simple signals which are usually measured in the car. At the end the development of robust evolving could-based controller and the implementation in some practical cases will be shown.


July 6th, 2018 / Friday / MORNING (08:50h10:30h) 

Technical Session (NAFIPS – FM1: Inter-Relation between Interval and Fuzzy Techniques) Room 1 Chair: To be defined
08:50h – 09:10h A Brief Review of a Method for Bounds on Polynomial Ranges over Simplexes

Ralph Baker Kearfott & Liu Dun

09:10h – 09:30h Moore: Interval Arithmetic in C++20

Walter F. Mascarenhas

09:30h – 09:50h Towards Foundations of Fuzzy Utility: Taking Fuzziness into Account Naturally Leads to Intuitionistic Fuzzy Degrees

Christian Servin & Vladik Kreinovich

09:50h – 10:10h Solving transhipment problems with fuzzy delivery costs and fuzzy constraints

Juan Carlos Figueroa-García, Jhoan Sebastian Tenjo-García & Camilo Alejandro Bustos-Tellez

10:10h – 10:30h How to Gauge Repair Risk?

Francisco Zapata & Vladik Kreinovich




Technical Session (NAFIPS – FM2: Fuzzy Modeling and Applications) Room 2 Chair: To be defined
08:50h – 09:10h Evolving Granular Fuzzy Min-Max Modeling

Alisson Porto & Fernando Gomide

09:10h – 09:30h Fuzzy Logic applied to ehealth supported by a Multi-Agent System

Afonso Lima, João Andrade, Tibério Loureiro, Gustavo Campos & Marcial Fernandez

09:30h – 09:50h Interactive fuzzy process: an epidemiological model

Francielle Santo Pedro, Laécio C. Barros & Estevão Esmi

09:50h – 10:10h Numerical Solutions for Bidimensional Initial Value Problem with Interactive Fuzzy Numbers

Vinícius Wasques, Estevão Esmi, Laécio Barros & Peter Sussner

10:10h – 10:30h The Method of Least Square with Interactive Fuzzy Coefficient: Application on Longitudinal Data

Nilmara Pinto, Vinícius Wasques, Estevão Esmi & Laécio C. Barros