NAFIPS 2016 — PROGRAM
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
Wednesday 
July 5th, 2018
Thursday 
July 6th, 2018
Friday 
08:20h – 08:50h  Registration  Registration  —— 
08:50h – 9:30h  Opening Ceremony  Technical Oral Sessions
NAFIPSTM1 & TM2 CBSFTM1 & TM2 
Technical Oral Sessions
NAFIPSFM1 & FM2 CBSFFM1 & FM2 
9:30h – 10:30h  Plenary Talk WM1
(Prof. Humberto Bustince) 

10:30h – 11:00h  Coffee Break  Coffee Break  Coffee Break 
11:00h – 12:00h  Plenary Talk WM2
(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
NAFIPSWA1 & WA2 CBSFWA1 & WA2 
Technical Oral Sessions
NAFIPSTA1 & TA2 CBSFTA1 & TA2 
Technical Oral Sessions
CBSFFA1 & CBSFFA2 CBSFFA3 & CBSFFA4 
15:10h – 15:40h  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
NAFIPSTA3, TA4 & TA5 CBSFTA3 

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 46, 2018 – Fortaleza, 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 WM1
(Prof. Humberto Bustince) 
10:30h – 11:00h  Coffee Break  
11:00h – 12:00h  Room 1  Plenary Talk WM2
(Prof. Laécio Carvalho) 
12:00h– 13:30h  —–  Lunch Time 
13:30h – 15:10h  Room 1  Technical Session NAFIPSWA1: Fuzzy and Possibilistic Mathematical Analysis & Application 1 
Room 2  Technical Session NAFIPSWA2: Image and Signal Processing  
Room 3  Technical Session CBSFWA1: Classificação de Padrões  
Room 4  Technical Session CBSFWA2: 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 WM1 (Wednesday, July 4th, 09:30h – 10:30h, Room: )
Speaker: Prof. Humberto Bustince (Public University of Navarra, Pamplona, Spain)
Title: Generalized C_{F}_{1,F2} integrals and their application to image processing and classification
Abstract
In this talk we present a generalization (C_{F}_{1,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 stateoftheart 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 WM2 (Wednesday, July 4th, 11:00h – 12:00h, Room: )
Speaker: Prof. Laécio Carvalho de Barros (University of Campinas, Brazil)
Title: On Fuzzy Derivative
Abstract
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 LeibnizFréchet 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
Abstract
Most Recommender Systems rely exclusively on ratings and are known as Memorybased 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 Modelbased approaches, Traditional Memorybased 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 userbased 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 userbased collaborative filtering.
July 4th, 2018 / Wednesday / AFTERNOON (13:30h – 15:10h)
Technical Session (NAFIPS – WA1: Fuzzy and Possibilistic Mathematical Analysis & Application 1) – Room 1 – Chair: To be defined  
13:30h – 13:50h  Preypredator 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. MaquiHuamán, 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 ChalcoCano, 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 ColorBased 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 MarcoDetchart, Graçaliz Pereira Dimuro, Mikel SesmaSara, Javier Fernandez & Humberto Bustince 
14:30h – 14:50h  A Fuzzy Approach Towards Parking Space Occupancy Detection Using LowQuality 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 NAFIPSTM1: Theoretical Developments 1 
Room 2  Technical Session NAFIPSTM2: Pattern Classification  
Room 3  Technical Session CBSFTM1: Aplicações em Agricultura e MeioAmbiente 1  
Room 4  Technical Session CBSFTM2: 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 NAFIPSTA1: Knowledge Representation and Decision Making 
Room 2  Technical Session NAFIPSTA2: Theoretical Developments 2  
Room 3  Technical Session CBSFTA1: Aplicações em Saúde e Educação  
Room 4  Technical Session CBSFTA2: 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 NAFIPSTA3: Type2 Fuzzy Modeling in Big Data Analytics 
Room 2  Technical Session NAFIPSTA4: Fuzzy and Possibilistic Mathematical Analysis & Application 2  
Room 3  Technical Session NAFIPSTA5: Time Series Analysis and Forecasting  
Room 4  Technical Session CBSFTA3: 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
Abstract
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 wellknown 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 intervalvalue 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 fuzzyvalued 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
Abstract
The fundamental problem of interval computations is, given a realvalued function f (x_{1}, . . . , x_{n}) of n variables defined on a hyperrectangle (interval vector) x = {(x_{1}, . . . , x_{n}) : x_{i} ≤ x_{i} ≤ x_{i}, 1 ≤ i ≤ n}, efficiently compute useful bounds on the range of f over x. In fuzzy computations, x represents a set of αcuts of inputs, f represents the relation between the inputs and an output, and the range of f over x represents the corresponding αcut 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 preplacement of postemergency 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 singleauthored monograph, has coauthored 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 (08:50h – 10:30h)
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 SemiBCI Algebras
Jocivania Pinheiro, Rui Paiva & Regivan Santiago 
09:50h – 10:10h  Aggregation with Tnorms and LexiTnorms and their connections with the Leximin Principle
Henrique Viana & João Alcântara 
10:10h – 10:30h  Some examples of relations between Ftransforms 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 Cmeansbased 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 RuleBased 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 (13:30h – 15:10h)
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 Latticevalued 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 nDimensional Interval Fuzzy Negations
Ivan Mezzomo, Benjamin Bedregal & Thadeu Milfont. 
14:30h – 14:50h  Representing Intuitionistic Fuzzy BiImplications 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 (16:40h – 18:20h)
Technical Session (NAFIPS – TA3: Type2 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 type2 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 EulerLagrange 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 αlevel 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 (16:40h – 18:20h)
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 PerdomoTovar, Eiber Arley GalindoArevalo & Juan Carlos FigueroaGarcía 
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 BlackBox 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 NAFIPSFM1: InterRelation between Interval and Fuzzy Techniques 
Room 2  Technical Session NAFIPSFM2: Fuzzy Modeling and Applications  
Room 3  Technical Session CBSFFM1: Automação, Robótica e Sistemas Embarcados  
Room 4  Technical Session CBSFFM2: 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 CBSFFA1: Clusterização de Dados 
Room 2  Technical Session CBSFFA2: Aplicações em Agricultura e MeioAmbiente 2  
Room 3  Technical Session CBSFFA3: Modelagem Fuzzy e Aplicações  
Room 4  Technical Session CBSFFA4: 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 online 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 airconditioning 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 couldbased controller and the implementation in some practical cases will be shown.
July 6th, 2018 / Friday / MORNING (08:50h – 10:30h)
Technical Session (NAFIPS – FM1: InterRelation 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 FigueroaGarcía, Jhoan Sebastian TenjoGarcía & Camilo Alejandro BustosTellez 
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 MinMax Modeling
Alisson Porto & Fernando Gomide 
09:10h – 09:30h  Fuzzy Logic applied to ehealth supported by a MultiAgent 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 