by Baoding Liu
Publisher: Tsinghua University 2018
Number of pages: 501
Uncertainty theory is a branch of mathematics based on normality, monotonicity, self-duality, countable subadditivity, and product measure axioms. Uncertainty is any concept that satisfies the axioms of uncertainty theory. Thus uncertainty is neither randomness nor fuzziness. It is also known from some surveys that a lot of phenomena do behave like uncertainty.
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by W. B. V. Kandasamy, F. Smarandache, K. Ilanthenral - InfoLearnQuest
This book introduces special classes of Fuzzy and Neutrosophic Matrices. These special classes of matrices are used in the construction of multi-expert special fuzzy models using FCM, FRM and FRE and their Neutrosophic analogues.
by Edward I. Edgerton, Wallace E. Bartholomew - The Ronald Press Co.
The course in this book is much more advanced than the usual course in commercial arithmetic. The attempt has been made to construct a practical course which will contain all the essential mathematical knowledge required in a business career.
by J. Bystrom, L. Persson, F. Stromberg - Lulea University of Technology
Topics: dimensional analysis and scaling; perturbation methods; the calculus of variations; the theory of partial differential equations; Sturm-Liouville theory; transform theory with applications; Hamiltonian theory and isoperimetric problems; etc.
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Simple recipes for solving problems students might face in their studies of economics. The main goal was to refresh students' knowledge of mathematics rather than teach them math from scratch, BA level mathematics is required.