BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Australia/Hobart BEGIN:DAYLIGHT DTSTART:20201004T030000 TZOFFSETFROM:+1000 TZOFFSETTO:+1100 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=10 TZNAME:AEDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20200405T020000 TZOFFSETFROM:+1100 TZOFFSETTO:+1000 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=4 TZNAME:AEST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20200927T103838Z UID:75FD54F9-153F-4D95-8902-9697AF9B43E8 DTSTART;TZID=Australia/Hobart:20200922T173000 DTEND;TZID=Australia/Hobart:20200922T184500 DESCRIPTION:ABSTRACT:\n\nConsensus reaching processes (CRPs) provide soluti ons acceptable to all the experts participating in group decision problems \, they are demanded in many real-life contexts. Given the variety of exis ting approaches to support consensus reaching processes\, this talk consid ers two main objectives. Firstly\, it revises and introduces a taxonomy th at provides an overview and categorization of some existing consensus mode ls for group decision making problems defined in a fuzzy context\, taking into account the main features of each model. Secondly it discusses the pe rformance of classical CRP models within contexts with a large number of d ecision makers\, such as e-market places and social networks. This lecture will focus on some new requirements to the solution of consensus-based gr oup decision making problems\, such as\n\n- Consensus metrics for analysin g performance of consensus reaching processes\n- Comprehensive minimum cos t consensus reaching processes\n- Increase of convergence of the consensus process keeping decision makers sovereign\n- Monitoring tools to evaluate easily the evolution of the consensus process.\n\nSPEAKER:\n\nLuis Martin ez is Full Professor of Computer Science with the University of Jaén (Spa in). He is a well-established research leader in the ICT field and recogni zed as highly cited researcher in the field. His current research interest s are in fuzzy decision making\, linguistic preference modelling\, fuzzy s ystems\, decision support systems\, computing with words and recommender s ystems. He has been main researcher in 16 R&D projects. He is an IEEE Seni or Member and member of the European Society for Fuzzy Logic and Technolog y. Luis is Co-Editor in Chief of the International Journal of Computationa l Intelligence Systems and an Associated Editor of IEEE Transactions on Fu zzy Systems\, Knowledge-Based Systems\, Information Fusion\, the Internati onal Journal of Fuzzy Systems\, Journal of Intelligent & Fuzzy Systems\, A pplied Artificial Intelligence\, Journal of Fuzzy Mathematics. He received the IEEE Transactions on Fuzzy Systems Outstanding Paper Award in 2008 an d 2012. Luis was a Visiting Professor in University of Technology Sydney\, University of Portsmouth (UK). He has been appointed as Highly Cited Rese archer in 2017\, 2018 and 2019 in Computer Science according to the Web of Science.\n\nCo-sponsored by: IEEE Victorian section\, Australia\n\nSpeake r(s): Prof. Luis Martinez\, \n\nVirtual: https://events.vtools.ieee.org/m/ 237111 LOCATION:Virtual: https://events.vtools.ieee.org/m/237111 ORGANIZER:Kiril.Tenekedjiev@utas.edu.au SEQUENCE:5 SUMMARY:IEEE Online Lecture with Prof. Luis Martinez: HOW TO MANAGE CONSENS US PROCESSES FOR LARGE SCALE GROUP DECISIONS URL;VALUE=URI:https://events.vtools.ieee.org/m/237111 X-ALT-DESC:Description: <br /><p><span style="color: #333399\;"><strong>ABS TRACT:</strong></span></p>\n<p>Consensus reaching processes (CRPs) provide solutions acceptable to all the experts participating in group decision p roblems\, they are demanded in many real-life contexts. Given the variety of existing approaches to support consensus reaching processes\, this talk considers two main objectives. Firstly\, it revises and introduces a taxo nomy that provides an overview and categorization of some existing consens us models for group decision making problems defined in a fuzzy context\, taking into account the main features of each model. Secondly it discusses the performance of classical CRP models within contexts with a large numb er of decision makers\, such as e-market places and social networks. This lecture will focus on some new requirements to the solution of consensus-b ased group decision making problems\, such as</p>\n<ul>\n<li>Consensus met rics for analysing performance of consensus reaching processes</li>\n<li>C omprehensive minimum cost consensus reaching processes</li>\n<li>Increase of convergence of the consensus process keeping decision makers sovereign< /li>\n<li>Monitoring tools to evaluate easily the evolution of the consens us process.</li>\n</ul>\n<p><strong><span style="color: #333399\;">SPEAKER :&nbsp\;</span></strong></p>\n<p>Luis Martinez is Full Professor of Comput er Science with the University of Ja&eacute\;n (Spain). He is a well-estab lished research leader in the ICT field and recognized as highly cited res earcher in the field. His current research interests are in fuzzy decision making\, linguistic preference modelling\, fuzzy systems\, decision suppo rt systems\, computing with words and recommender systems. He has been mai n researcher in 16 R&amp\;D projects. He is an IEEE Senior Member and memb er of the European Society for Fuzzy Logic and Technology. Luis is Co-Edit or in Chief of the International Journal of Computational Intelligence Sys tems and an Associated Editor of IEEE Transactions on Fuzzy Systems\, Know ledge-Based Systems\, Information Fusion\, the International Journal of Fu zzy Systems\, Journal of Intelligent &amp\; Fuzzy Systems\, Applied Artifi cial Intelligence\, Journal of Fuzzy Mathematics. He received the IEEE Tra nsactions on Fuzzy Systems Outstanding Paper Award in 2008 and 2012. Luis was a Visiting Professor in University of Technology Sydney\, University o f Portsmouth (UK). He has been appointed as Highly Cited Researcher in 201 7\, 2018 and 2019 in Computer Science according to the Web of Science.</p> END:VEVENT END:VCALENDAR