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            <title xml:lang="en">Fuzzy Cognitive Maps with Rough Concepts</title>
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                <forename type="first">Maikel</forename>
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            <idno type="halRefHtml">&lt;i&gt;9th Artificial Intelligence Applications and Innovations (AIAI)&lt;/i&gt;, Sep 2013, Paphos, Greece. pp.527-536, &lt;a target="_blank" href="https://dx.doi.org/10.1007/978-3-642-41142-7_53"&gt;&amp;#x27E8;10.1007/978-3-642-41142-7_53&amp;#x27E9;&lt;/a&gt;</idno>
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            <note type="commentary">Part 12: First Workshop on Fuzzy Cognitive Maps Theory and Applications (FCMTA 2013)</note>
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                <title xml:lang="en">Fuzzy Cognitive Maps with Rough Concepts</title>
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                    <forename type="first">Maikel</forename>
                    <surname>León</surname>
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                  <date type="end">2013-10-02</date>
                  <settlement>Paphos</settlement>
                  <country key="GR">Greece</country>
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                <editor>Harris Papadopoulos</editor>
                <editor>Andreas S. Andreou</editor>
                <editor>Lazaros Iliadis</editor>
                <editor>Ilias Maglogiannis</editor>
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                <term xml:lang="en">modelling problems</term>
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              <p>Artificial Intelligence has always followed the idea of using computers for the task of modelling human behaviour, with the aim of assisting decision making processes. Scientists and researchers have developed knowledge representations to formalize and organize such human behaviour and knowledge management, allowing for easy translation from the real world, so that the computers can work as if they were “humans”. Some techniques that are common used for modelling real problems are Rough Sets, Fuzzy Logic and Artificial Neural Networks. In this paper we propose a new approach for knowledge representation founded basically on Rough Artificial Neural Networks and Fuzzy Cognitive Maps, improving flexibility in modelling problems where data is characterized by a high degree of vagueness. A case study about modelling Travel Behaviour is analysed and results are assessed.</p>
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              <addrLine>Campus Hasselt | Martelarenlaan 42 | BE3500 HasseltCampus Diepenbeek | Agoralaan gebouw D | BE3590 Diepenbeek</addrLine>
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