NN-FS 2018:The 2018 International Conference on
Neural Networks - Fuzzy Systems

Prague, Czech Republic, May 19-21, 2018

About the Conference

A) The Proceedings will be published in Digital Form.
B) Extended versions of the accepted Papers will be evaluated for possible publication in the following Journals indexed in many reputable indexes, like Web of Science (Database: Emerging Sources Citation Index), SCOPUS, EI Compendex, IET, Google Scholar. For the indexing of a particular journal visit its web page.

International Journal on Advanced Science, Engineering and Information Technology

ARPN Journal of Engineering and Applied Sciences

International Journal of Applied Mathematics and Computer Science

International Journal of Computers and Applications (Taylor and Francis)

Journal of Electrical Systems (JES)

Journal of Theoretical and Applied Information Technology

Advances in Electrical and Electronic Engineering

TELKOMNIKA: Telecommunication, Computing, Electronics and Control

International Journal of Modern Manufacturing Technologies

Indonesian Journal of Electrical Engineering and Computer Science (IJEECS)

Bulletin of Electrical Engineering and Informatics (BEEI)

Proceedings of the Institute of Mathematics and Mechanics

Journal of Fundamental and Applied Sciences (JFAS)

Journal of Electrical Systems (JES)

International Journal of Engineering and Technology

International Journal of Power and Energy Systems

International Journal of Robotics and Automation

Reports of Biochemistry and Molecular Biology

Remote Sensing in Ecology and Conservation

Quarterly Journal of Finance

International Journal of Electrical and Computer Engineering (IJECE)

International Journal of Power Electronics and Drive Systems

or in other similar journals indexed in: Web of Science (Database: Emerging Sources Citation Index), SCOPUS, EI Compendex, IET, Google Scholar.


* Contact us by email: support@inase.org   Registration fees       Publication Ethics and Malpractice Statement     Deadlines
 (Previous Conference: NN-FS 2017, Athens, Greece, April 9-11 2017)


Prof. Gia Sirbiladze, Head of Chair of Applied Informatics, Department of Computer Science, Faculty of Exact and Natural Sciences, Iv. Javakhishvili Tbilisi State University, GEORGIA, e-mail: gia.sirbiladze@tsu.ge
Title: "Fuzzy Approach in the Problem of Multi-Objective Emergency Service Location/Transportation for Disaster Region"
Abstract: Recent years have seen a significant growth in human life losses and material damages caused by anthropogenic and natural disasters such as earthquakes, flooding, tsunamis, terrorist attacks and others. In its December 2011 news release, the reinsurer Swiss Re reported that '2011 will be the year with the highest catastrophe-related economic losses in history, at USD 350 billion'. This has prompted researchers in different fields to intensively address the problems of emergency management. Emergency management is commonly divided into four main phases: mitigation, preparedness, response and recovery. This work focuses on the logistics aspect of the response phase and more precisely on two important related problems: location and transportation. In the response phase the location problem aims at designing a network for distributing humanitarian aid (e.g., water, food, medical goods and survival equipment). It mainly consists in determining the number, the position and the mission of required humanitarian aid distribution centers (HADC) within the disaster region. The transportation problem deals with the distribution of humanitarian aid from HADCs to demand points. When both problems are solved simultaneously, we speak about a location-transportation problem. Our research deals with a Fuzzy Multi-objective Emergency Location-Transportation Problem (FMOELTP). We assume fuzziness in the model because the experts (emergency managers) knowledge and evaluations on the parameters of disaster response are the main and important data. In our model four objectives are considered. The first objective is to minimize an expectation of total transportation duration of needed products. The second objective is to maximize the total selection ranking index of candidate sites of HADCs. The third objective minimizes the number of agents needed to operate the opened HADCs. The fourth objective minimizes the non-covered demand for all demand points. We assume that requests for products are estimated by homeland security organizations, or their experts, based upon their experience and their evaluation of the disaster's seriousness. Estimated transportation times presented by emergency managers are considered to take into account routing access difficulty of the region and the infrastructures condition. We propose an exact epsilon-constraint method for the problem. it is proved that this approach generates the Pareto front of the multi-objective location-transportation problem addressed. For a large dimension of the FMOELTP the Estimation of Distribution Algorithm's (EDA) approach will be developed. Based on the optimal solution of the FMOELTP the Intelligent Support System for Emergency Location and Transportation Planning in Disaster Regions is developing now. Programming, testing and implementation will be made on the example of an experimental (simulation) disaster region (for some geographical zone of Georgia). This research is sponsored by the Shota Rustaveli National Science Foundation (Georgia), grant No. STCU-2016-04 and Science & Technology Center in Ukraine, Grant No. #6297.

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Paper Submission

Papers must be written in the correct format:  MS Word.doc  or LaTeX  or LaTeX2   and must be uploaded using the following form as .doc, or .pdf file. Invited and Regular Papers will be published in various Indexed Journals based on quality and reviewers' recommendations. Only full papers will be promoted to reviewers for thorough peer review.  The deadline for paper submission expired. We do not accept papers any longer.


Organizing Committee

General Chairs (Editors of Proceedings)

  1. Prof.Yingxu Wang, PhD,
    Schulich School of Engineering
    University of Calgary
    Calgary, AB, Canada T2N 1N4
  2. Prof. Pierre Borne, IEEE France Section Chair,
    IEEE Fellow, IEEE/SMC Past President, Ecole Centrale de Lille
    BP 48, 59651 Villeneuve d'Ascq, France
  3. Prof. Imre Rudas, Obuda University, Budapest, Hungary

Senior Program Chair

  1. Prof. Janusz Kacprzyk,
    IEEE Fellow,
    Polish Academy of Sciences, Warsaw, Poland

Program Chairs

  1. Prof. Pierre Borne
    Dipartimento di Informatica e Sistemistica
    University of Naples "Federico II"
    Naples, Italy
  2. Prof. Constantin Udriste,
    University Politehnica of Bucharest,
  3. Prof. Sandra Sendra
    Instituto de Inv. para la Gestión Integrada de Zonas Costeras (IGIC)
    Universidad Politécnica de Valencia

Tutorials Chair

  1. Prof. Pradip Majumdar
    Department of Mechanical Engineering
    Northern Illinois University
    Dekalb, Illinois, USA

Special Session Chair

  1. Prof. Pavel Varacha
    Tomas Bata University in Zlin
    Faculty of Applied Informatics
    Department of Informatics and Artificial Intelligence
    Zlin, Czech Republic

Workshops Chair

  1. Prof. Ryszard S. Choras
    Institute of Telecommunications
    University of Technology & Life Sciences
    Bydgoszcz, Poland

Local Organizing Chair

  1. Prof. Klimis Ntalianis,
    Tech. Educ. Inst. of Athens (TEI), Athens, Greece

Publication Chair

  1. Prof. Gen Qi Xu
    Department of Mathematics
    Tianjin University
    Tianjin, China

Publicity Committee

  1. Prof. Reinhard Neck
    Department of Economics
    Klagenfurt University
    Klagenfurt, Austria
  2. Prof. Myriam Lazard
    Institut Superieur d' Ingenierie de la Conception
    Saint Die, France

International Liaisons

  1. Prof. Ka-Lok Ng
    Department of Bioinformatics
    Asia University
    Taichung, Taiwan
  2. Prof. Olga Martin
    Applied Sciences Faculty
    Politehnica University of Bucharest
  3. Prof. Vincenzo Niola
    Departement of Mechanical Engineering for Energetics
    University of Naples "Federico II"
    Naples, Italy
  4. Prof. Eduardo Mario Dias
    Electrical Energy and Automation
    Engineering Department
    Escola Politecnica da Universidade de Sao Paulo

Steering Committee

  • Prof. Aida Bulucea, University of Craiova, Romania
  • Prof. Zoran Bojkovic, Univ. of Belgrade, Serbia
  • Prof. Claudio Guarnaccia, University of Salerno, Italy
  • Prof. Imre Rudas, Obuda University, Budapest, Hungary

Program Committee

A) Program Committee for NEURAL NETWORKS

  • Prof. Pierre Borne, IEEE France Section Chair, IEEE Fellow, IEEE/SMC Past President, Ecole Centrale de Lille
    BP 48, 59651 Villeneuve d'Ascq, France
  • Prof. Leon Chua, IEEE Fellow,University of Berkeley, USA
  • Prof. Narsingh Deo, IEEE Fellow, Department of Computer Science, University of Central Florida, Orlando, FL, USA
  • Prof. Wasfy B Mikhael, IEEE Fellow, University of Central Florida Orlando, USA
  • Prof. Panos Pardalos, IEEE Fellow, University of Florida, USA
  • Prof. Jim Austin, Computer Science, University of York, York, UK
  • Prof. Stefanos Kollias, National Technical University of Athens, Athens, Greece
  • Prof. Bruno Apolloni (President of the Italian Society of Neural Networks - SIREN), University of Milan, Milan, Italy
  • Prof. Alessandro Di Nuovo, Plymouth University, Plymouth, UK
  • Prof. Thomas Wennekers, Plymouth University, Plymouth, UK
  • Prof. Dominic Palmer-Brown, London Metropolitan University, London, UK
  • Prof. Yi Ming Zou, University of Wisconsin-Milwaukee, Milwaukee, WI 53201, USA
  • Prof. Sebastian Pannasch, Technische Universitaet Dresden, Dresden, Germany
  • Prof. Yutaka Maeda, Faculty of Engineering Science, Kansai University, Japan
  • Prof. Andreas Koenig, Technische Universitaet Kaiserslautern, D-67663 Kaiserslautern, Germany
  • Prof. Jiann-Ming Wu, National Dong Hwa University, Hualien, Taiwan
  • Prof. Paolo Gastaldo, University of Genova, Genova, Italy
  • Prof. Friedhelm Schwenker, Universitat Ulm, 89069 Ulm, Germany
  • Prof. Juan Ignacio Arribas, Universidad de Valladolid, Valladolid, Spain
  • Prof. Tienfuan Kerh, National Pingtung University of Science and Technology, Pingtung, Taiwan
  • Prof. Imre J. Rudas, Obuda University, Budapest, Hungary
  • Prof. Francesco Camastra, University of Naples - Parthenope, Naples, Italy
  • Prof. Kyong Joo Oh, Yonsei University, Korea
  • Prof. Francesco Marcelloni, University of Pisa, Pisa, Italy
  • Prof. Claudio Mirasso, Universitat de les Illes Balears, Palma de Mallorca, Spain
  • Prof. Günther Palm, Ulm University, Ulm, Germany
  • Prof. Giorgio Valentini, University of Milan (Milano), Italy
  • Prof. Zhiyuan Luo, Royal Holloway, University of London, Egham, Surrey, UK
  • Prof. Alessio Micheli, Universita di Pisa, Pisa, Italy
  • Prof. Ping-Feng Pai, National Chi Nan University, Puli, Nantou, Taiwan
  • Prof. Manwai Mak, Hong Kong Polytechnic University, Hung Hom, Hong Kong
  • Prof. Alexander Gegov, University of Portsmouth, Portsmouth, UK
  • Prof. Anastasios Tefas, Aristotle University of Thessaloniki, Thessaloniki, Greece
  • Prof. Hazem M. El-Bakry, Mansoura University, Mansoura, Egypt
  • Prof. Alessandro Rozza, University of Naples - Parthenope, Naples, Italy
  • Prof. Ryszard S. Choras, University of Technology & Life Sciences, Bydgoszcz, Poland
  • Prof. Dietrich Klakow, Saarland University, Saarbrucken, Germany
  • Prof. George Mengov, Sofia University St. Kliment Ohridski, Sofia, Bulgaria
  • Prof. Mirko Novak, Czech Technical University in Prague, Czech Republic
  • Dr. Tonatiuh Pena Centeno, Universitat of Greifswald, Greifswald, Germany
  • Dr. Mauro Gaggero, Institute of Intelligent Systems for Automation (ISSIA), National Research Council of Italy, Genoa, Italy

    B) Program Committee for FUZZY SYSTEMS
  • Prof. Lotfi Zadeh, IEEE Fellow, University of Berkeley, USA
  • Prof. Michio Sugeno, IEEE Fellow, Tokyo Institute of Technology, Japan
  • Prof. Janusz Kacprzyk, IEEE Fellow, Polish Academy of Sciences, Warsaw, Poland
  • Prof. Pierre Borne, IEEE France Section Chair, IEEE Fellow, IEEE/SMC Past President, Ecole Centrale de Lille, France
  • Prof. Chin-Liang Chang, University of California, Berkeley, USA
  • Prof. George Vachtsevanos, Georgia Institute of Technology, Atlanta, GA 30332, USA
  • Prof. Boris Kovalerchuk, Central Washington University, University Way Ellensburg, WA 98926, USA
  • Prof. Michelle Quirk, The University of Texas at Austin, Austin, USA
  • Prof. Marek Reformat, University of Alberta, Alberta, Canada
  • Prof. Miin-Shen Yang, Chung Yuan Christian University, Zhongli City, Taoyuan County, Taiwan
  • Prof. Waldemar Koczkodaj, Laurentian University, Sudbury ON P3E 2C6, Canada
  • Prof. Jose Luis Verdegay, University of Granada, Granada, Spain
  • Prof. Bruno Apolloni, University of Milan (Milano), Italy
  • Prof. Ping-Feng Pai, National Chi Nan University, Puli, Nantou, Taiwan
  • Prof. Anca Croitoru, "Al. I. Cuza" University, Iasi, Romania
  • Prof. Ning Xiong, Malardalen University, Vasteras and Eskilstuna, Sweden
  • Prof. Imre J. Rudas, Obuda University, Budapest, Hungary
  • Prof. Zeki Ayag, Kadir Has University, Istanbul, Turkey
  • Prof. Alexander Gegov, University of Portsmouth, Portsmouth, UK
  • Prof. Petia Georgieva, University of Aveiro, Aveiro, Portugal
  • Prof. Adel M. Alimi, University of Sfax, Tunisia
  • Prof. Katsuhiro Honda, Osaka Prefecture University, Osaka, Japan
  • Prof. B. M. Mohan, Indian Institute of Technology, Kharagpur, India
  • Prof. Kemal Kilic, Sabanci University, Istanbul, Turkey
  • Prof. Soheil Salahshour, Department of Computer Engineering, Mashhad Branch, IAU, Iran
  • Prof. Alexandre Galvao Patriota, University of Sao Paulo, Sao Paulo, Brazil
  • Prof. Hwa-Young (Michael) Jeong, Kyung Hee University, Seoul, South Korea
  • Prof. Kaan Yetilmezsoy, Yildiz Technical University, Esenler, Istanbul, Turkey
  • Prof. Özgür Kişi, Erciyes University, Kayseri, Turkey
  • Prof. Rustom M. Mamlook, King Saud University, Riyadh, Saudi Arabia
  • Prof. Gia Sirbiladze, Iv. Javakhishvili Tbilisi State University, Tbilisi, Georgia
  • Prof. Paramartha Dutta, Visva Bharati University, West Bengal, India
  • Dr. Lauren Barghout, University of California, Berkeley, USA


Topics of Interest

NEURAL NETWORKS: Mathematical Foundation of Neural Networks (NN), Neural Networks Theory & Models, Neuronal Automata, Learning Algorithms, Real-life Applications, Neural Networks and Neuroscience, Brain Machine Interfaces, Neurodynamics, Cellular Neural Networks, Complex Systems, Hybrid Systems, Implementation of Neural Networks, Self-Orgnization of NN, Machine Learning, Fuzzy Systems and Neural Networks, Evolutionary Algorithms and Neural Networks, Bionspired Computations and Neural Networks, Implementation of Neural Networks with Hardware and Embedded Systems, Neural Control and Robotics, Cognitive Models, Computational Neuroscience, Neurobiology and Neurosciences, Prediction, Estimation and Statistics, Others

FUZZY SYSTEMS: Mathematical foundation of Fuzzy Logic, Fuzzy Logic, Fuzzy Sets, Fuzzy Algebra, Fuzzy Analysis, Fuzzy Geometry, Fuzzy Differential Equation, Interval Analysis, Approximate Reasoning, Computing With Words, Fuzzy Optimization, Fuzzy Algorithms, Fuzziness and Probabilities, Fuzziness and Statistics, Fuzzy Control, Fuzzy Languages, Fuzzy Automata, Fuzzy Differential Equations, Fuzzy Discrete Event Systems, Fuzzy Expert Systems, Fuzzy Forecasting, Fuzzy Functions, Fuzzy Genetic Algorithms, Fuzzy Geometry, Fuzzy Granular Computing, Fuzzy Hardware and Architectures, Fuzzy Human-Computer Interaction, Fuzzy Information Theory, Fuzzy Expert systems, Fuzzy Operational Research, Fuzzy Data Mining, Forecasting and information retrieval, Fuzzy Internet Computing, Fuzzy Discrete Event Systems, Neural-Fuzzy Systems, Fuzzy Genetic Algorithms, Takagi-Sugeno Methodologies, Universal Approximators' Theory, Hybrid and Fuzzy Knowledge Based Networks, Software Engineering for Fuzzy Systems, Prediction, Estimation and Statistics, Simulation, Time series analysis, Non-linear Systems' study via Takagi-Sugeno Methodologies and other Fuzzy Techniques, Complex Systems' and Very Large Scale Systems' study, Fuzzy Systems in Robotics and Mechatronics, Fuzzy Systems applications in Signal Processing, Fuzzy Systems applications in Patern Recognition, Fuzzy Systems applications in Communications, Fuzzy Systems applications in Networking, Fuzzy Systems applications in Power Systems, Fuzzy Systems applications in Production Systems, Biological, Environmental, Space Science, Health Science, Financial Science Applications of Fuzzy Systems, Fuzzy Systems applications in Mechanical, Chemical, Civil, Naval, Agricultural, Environmental Engineering Others

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