Finite Markov Chain and Fuzzy Logic Assessment Models by Michael Voskoglou
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Finite Markov Chain and Fuzzy Logic Assessment Models

Finite Markov Chain and Fuzzy Logic Assessment Models


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About the Book

The theory of Markov Chains, being a smart combination of Linear Algebra and Probability Theory, offers ideal conditions for the study and mathematical modelling of a certain kind of phenomena depending upon random variables. Fuzzy logic on the other hand, due to its property of characterizing the uncertain real life situations with multiple values, provides a rich and meaningful addition to the standard logic that opens the door for modelling under conditions which are imprecisely defined. Finite Markov Chain and Fuzzy Logic models are developed in this book for assessing several human (e.g. learning, problem solving, reasoning, decision making, player performance, etc.) and machine (e.g. computer systems) activities.
About the Author: Michael Gr. Voskoglou (B.Sc., M.Sc., M.Phil., Ph.D in Mathematics) is currently an Emeritus Professor of Mathematical Sciences at the School of Technological Applications of the Graduate Technological Educational Institute (T. E. I.) of Western Greece in the city of Patras. He has served as a full Professor at the same Institute from 1987 to 2010. He used to be also an instructor at the Hellenic Open University, at the Mathematics Department of the University of Patras, at the Schools of Primary and Secondary In - Service Teachers' Training in Patras and a teacher of mathematics at the Greek Public Secondary Education (1972-1987). He was appointed as a Visiting Researcher at the Institute of Mathematics and Informatics of the National Bulgarian Academy of Sciences in Sofia for three years (1997-2000), under sabbatical. He has lectured as a Visiting Professor in M.Sc. courses of the School of Management at the University of Warsaw (2009), of the Department of Operational Mathematics at the University of Applied Sciences in Berlin (2010) and also at the Mathematics Department of the National Institute of Technology of Durgapur (2016) under a grand of the GIAN program (Course No. 161021K03) of the Indian Government. He is the author of 14 books in Greek and in English language and of more than 400 papers published in reputed journals and proceedings of conferences of about 30 countries of the five continents, with many citations from other researchers. He is also the Editor in Chief of the "International Journal of Applications of Fuzzy Sets and Artificial Intelligence" (ISSN 2241-1240), reviewer of the American Mathematical Society (No. 60147) and member of the Editorial Board of many reputed mathematical journals. He is the recipient of many scholarships, distinctions and honorary awards. His research interests include Algebra, Fuzzy Logic, Markov Chains, Artificial Intelligence and Mathematics Education. Links Home page: http: //eclass.teipat.gr/eclass/courses/523102 Related pages: http: //arxiv.org/a/voskoglou_m_1 https: //mindreaderpublications.academia.edu/MichaelVoskoglou https: //researchgate.net/profile/Michael_Voskoglou http: //www.researcherid.com/rid/C-4504-2014; http: //orcid.org/0000-0002-4727-0089 https: //www.amazon.com/author/michaelvoskoglou Editor in Chief of IJAFSAI: http: //eclass.teipat.gr/eclass/courses/523103 (Impact Factor: SJIF 3.806, Universal 28.4587)


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Product Details
  • ISBN-13: 9781548340070
  • Publisher: Createspace Independent Publishing Platform
  • Publisher Imprint: Createspace Independent Publishing Platform
  • Height: 229 mm
  • No of Pages: 214
  • Spine Width: 11 mm
  • Weight: 340 gr
  • ISBN-10: 1548340073
  • Publisher Date: 24 Jun 2017
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Sub Title: Emerging Research and Opportunities
  • Width: 152 mm


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