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Modelling and Simulation in Management Sciences: Proceedings of the International Conference on Modelling and Simulation in Management Sciences (MS-18) 2020 ed. [Mīkstie vāki]

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  • Formāts: Paperback / softback, 218 pages, height x width: 235x155 mm, weight: 454 g, 41 Illustrations, color; 19 Illustrations, black and white; X, 218 p. 60 illus., 41 illus. in color., 1 Paperback / softback
  • Sērija : Advances in Intelligent Systems and Computing 894
  • Izdošanas datums: 19-Mar-2019
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030154122
  • ISBN-13: 9783030154127
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Modelling and Simulation in Management Sciences: Proceedings of the International Conference on Modelling and Simulation in Management Sciences (MS-18) 2020 ed.Palielināt
  • Formāts: Paperback / softback, 218 pages, height x width: 235x155 mm, weight: 454 g, 41 Illustrations, color; 19 Illustrations, black and white; X, 218 p. 60 illus., 41 illus. in color., 1 Paperback / softback
  • Sērija : Advances in Intelligent Systems and Computing 894
  • Izdošanas datums: 19-Mar-2019
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030154122
  • ISBN-13: 9783030154127
Citas grāmatas par šo tēmu:
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This book includes a collection of selected papers presented at the International Conference on Modelling and Simulation in Engineering, Economics, and Management, held at the Faculty of Economics and Business at the University of Girona, Spain, 28-29 June 2018.The conference was organized by the Association for the Advancement of Modelling and Simulation Techniques in Enterprises (AMSE) and the University of Girona with the aim of promoting research in the field of modelling, simulation and management science. 

This book presents original research studies related to fuzzy logic, soft computing and uncertainty, as well as a number of papers in the field of bibliometrics in social sciences. Presenting new advances in these areas, with a special focus on management, economics and social sciences.

It is of great interest to researchers and Ph.D. students working in the field of fuzzy logic, soft computing, uncertainty and bibliometrics.