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Scientific Methods for the Treatment of Uncertainty in Social Sciences
This book is a collection of selected papers presented at the SIGEF conference, held at the Faculty of Economics and Business of the University of Girona (Spain), 06-08 July, 2015. This edition of the conference has been presented with the slogan “Scientific methods for the treatment of uncertainty in social sciences”. There are different ways for dealing with uncertainty in management. The book focuses on soft computing theories and their role in assessing uncertainty in a complex world. It gives a comprehensive overview of quantitative management topics and discusses some of the most recent developments in all the areas of business and management in soft computing including Decision Making, Expert Systems and Forgotten Effects Theory, Forecasting Models, Fuzzy Logic and Fuzzy Sets, Modelling and Simulation Techniques, Neural Networks and Genetic Algorithms and Optimization and Control. The book might be of great interest for anyone working in the area of management and business economics and might be especially useful for scientists and graduate students doing research in these fields.
Modelling and Simulation in Management Sciences
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.
Decision Making Systems in Business Administration
This book analyzes some of the most recent advances in the field of decision making and fuzzy systems applied to business and economics presented at the International Conference on Modeling and Simulation (MS'12 Rio de Janeiro), 10–13 December, 2012. In this conference, a special focus is given to the fundamental concept of sustainable development. Other key applications in business, economics and finance are also considered. In general, it is very useful for graduate students and researchers interested in pursuing research that combines quantitative techniques such as modeling and simulation and decision making with business and economic problems. This is especially useful when dealing with complex environments where the information is very uncertain and additional mathematical and statistical techniques are needed in order to understand the specific situations considered.
Methods for Decision Making in an Uncertain Environment
This book contains a selection of the papers presented at the XVII SIGEF Congress. It presents fuzzy logic, neural networks and other intelligent techniques applied to economic and business problems. This book is very useful for researchers and graduate students aiming to introduce themselves to the field of quantitative techniques for overcoming uncertain environments. The contributors are experienced scholars of different countries who offer real world applications of these mathematical techniques.
Modeling and Simulation in Engineering, Economics, and Management
This book contains the refereed proceedings of the International Conference on Modeling and Simulation in Engineering, Economics, and Management, MS 2013, held in Castellón de la Plana, Spain, in June 2013. The event was co-organized by the AMSE Association and the SoGReS Research Group of the Jaume I University. This edition of the conference paid special attention to modeling and simulation in diverse fields of business management. The 28 full papers in this book were carefully reviewed and selected from 65 submissions. They are organized in topical sections on: modeling and simulation in CSR and sustainable development; modeling and simulation in finance and accounting; modeling and simulation in management and marketing; modeling and simulation in economics and politics; knowledge-based expert and decision support systems; and modeling and simulation in engineering.
Computational Intelligence in Business and Economics
Hybrid modelling of capillary distribution system in the food chain of different locations south of Bogota / Oscar Javier Herrera Ochoa. Modelling and simulation as integrated tool for research and development / Florin Ionescu -- pt. 7. Applications in other fields. Approach of evaluation of environmental impacts using backpropagation neural network / Jelena Jovanovic [und weitere]. Projecting demographic scenarios for a southern elephant seal population / Mariano A. Ferrari, Claudio Campagna, Mirtha N. Lewis. Effect of heat input and environmental temperature on the welding residual stresses using ANSYS APDL program comparison with experimental results / Nazhad A. Hussein. Sphalerite dissolution activity in the presence of sulphuric acid by using the Pitzer's model / Begar Abdelhakim [und weitere]. Fast Fourier transform ensemble Kalman filter with application to a coupled atmosphere-wildland fire model / Jan Mandel, Jonathan D. Beezley, Volodymyr Y. Kondratenko. Magnetic field effect on the near and far cylinder wakes / M. Aissa, A. Bouabdallah, H. Oualli. Stability theory methods in modelling problems / Lyudmila K. Kuzmina
Modeling and Simulation in Engineering, Economics, and Management
This book contains the refereed proceedings of the International Conference on Modeling and Simulation in Engineering, Economics, and Management, MS 2012, held in New Rochelle, NY, USA, in May/June 2012. The event was co-organized by the AMSE Association and Iona College. The 27 full papers in this book were carefully reviewed and selected from 78 submissions. In addition to these papers a summary of the plenary presentation given by Ronald R. Yager is also included. The book mainly focuses on the field of intelligent systems and its application to economics and business administration. Some papers have a stronger orientation towards modeling and simulation in these fields.
Computational Intelligence In Business And Economics - Proceedings Of The Ms'10 International Conference
This book provides some of the most recent developments in Computational Intelligence applied to business and economics presented at the MS'10 International Conference, Barcelona, 15 - 17 July, 2010. It presents several new theoretical advancements and a wide range of applications in different business and economic areas including accounting, finance, management, marketing, sports, tourism, economics and politics, and also some applications related with engineering and modeling and simulation.This book is very useful for researchers and graduate students interested in pursuing research in business and economics with an orientation to modern techniques for dealing with uncertainty such as those related with modeling and simulation and computational intelligence.
Complex Systems: Solutions and Challenges in Economics, Management and Engineering
This book presents an authoritative collection of contributions reporting on fuzzy logic and decision theory, together with applications and case studies in economics and management science. Dedicated to Professor Jaume Gil Aluja in recognition of his pioneering work, the book reports on theories, methods and new challenges, thus offering not only a timely reference guide but also a source of new ideas and inspirations for graduate students and researchers alike.
Methods For Decision Making In An Uncertain Environment - Proceedings Of The Xvii Sigef Congress
This book contains a selection of the papers presented at the XVII SIGEF Congress. It presents fuzzy logic, neural networks and other intelligent techniques applied to economic and business problems. This book is very useful for researchers and graduate students aiming to introduce themselves to the field of quantitative techniques for overcoming uncertain environments. The contributors are experienced scholars of different countries who offer real world applications of these mathematical techniques./a
