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Quantitative Reasoning: A Reasonable Approach provides students with reliable techniques and practical strategies to help them overcome their fears of mathematics and testing. The text presents critical mathematics concepts and approaches to problem-solving in an accessible and approachable way. The opening chapter addresses the various causes of math-related anxiety, provides students with study tips, discusses test taking, and reviews fractions, decimals, and essential vocabulary for numerical operations, as well as how to approach word problems/application situations. Chapters 2 and 3 focus on algebraic topics, including coverage of integers, percentages, exponents, algebraic expressions, and linear equations. Additional chapters walk students through unit conversions, graphing, and working with linear functions. Students learn fundamental math principles related to finances, including the calculation of taxes and markups/markdowns, the applications of simple and compound interest, and the determination of cost, revenue, and profit. Probability concepts, statistics, and how to solve systems of equations are covered. The final chapter is dedicated to matrices. Quantitative Reasoning is designed to help students thrive in foundational mathematics courses at the college level.

The book is intended as an invitation to the topic of relations on a rather general basis. It fills the gap between the basic knowledge offered in countless introductory papers and books (usually comprising orders and equivalences) and the highly specialized monographs on mainly relation algebras, many-valued (fuzzy) relations, or graphs. This is done not only by presenting theoretical results but also by giving hints to some of the many interesting application areas (also including their respective theoretical basics).This book is a new - and the first of its kind - compilation of known results on binary relations. It offers relational concepts in both reasonable depth and broadness, and also provides insight into the vast diversity of theoretical results as well as application possibilities beyond the commonly known examples.This book is unique by the spectrum of the topics it handles. As indicated in its title these are:

An Introduction to Fuzzy Sets provides a comparison of the quality of life in urban, intermediate and rural NUTS III regions in Portugal, with the main goal of identifying and analysing the necessary and conditions for a high quality of life in those different regions. The authors assess the necessary and sufficient conditions for higher Human Development Index levels, aiming to determine whether the same pattern could be used to explain the happiness index. In order to represent the applications of fuzzy set theory as well as neuro-fuzzy in industry, a literature review of these topics is carried out. As some researchers have eiciently utilized fuzzy logic and neuro-fuzzy, in-depth discussions are provided for stimulating future investigations. Following this, using the L. Zadeh theory of fuzzy sets, the authors consider all types of uncertainties in oil fields and oil production to make a decision as to what model is best in such a fuzzy environment. Additionally, several challenges are explored, such as: the fuzzy random finite difference numerical method, possibilistic uncertainty modeling, and the development of a fuzzy Wilks' theorem to model the hybrid structure of randomness and fuzziness modeling. In closing, a standard fuzzy arithmetic method is used for solving fuzzy equations, as well as for the optimization of fuzzy objectives. The fuzzy variable of the equation is fuzzified using a fuzzy set.