Theory Of Suboptimal Decisions
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Theory of Suboptimal Decisions
Author: A.A. Pervozvanskii
language: en
Publisher: Springer Science & Business Media
Release Date: 1988-05-31
Approach your problems from the right end It isn't that they can't see the solution. It is and begin with the answers. Then one day, that they can't see the problem. perhaps you will find the final question. G. K. Chesterton. The Scandal of Father 'The Hermit Clad in Crane Feathers' in R. Brown 'The point of a Pin'. van Gulik's The Chinese Maze Murders. Growing specialization and diversification have brought a host of monographs and textbooks on increasingly specialized topics. However, the "tree" of knowledge of mathematics and related fields does not grow only by putting forth new branches. It also happens, quite often in fact, that branches which were. thought to be completely disparate are suddenly seen to be related. Further, the kind and level of sophistication of mathematics applied in various Isciences has changed drastically in recent years: measure theory is used (non trivially) in regional and theoretical economics; algebraic geom. eJry interacts with I physics; the Minkowsky lemma, coding theory and the structure of water meet one another in packing and covering theory; quantum fields, crystal defects and rpathematical programminglprofit from homotopy theory; Lie algebras are relevant to filtering; and prediction and electrical engineering can use Stein spaces. And in addition to this there are such new emerging subdisciplines as "experimental mathematics", "CFD", "completely integrable systems", "chaos, synergetics and large-scale order", which are almost impossible to fit into the existing classification schemes. They draw upon widely different sections of mathematics.
Mathematical Theories in Strategic Decisions
Welcome to a journey through the fascinating world of decision-making, where mathematics and technology converge to illuminate the path forward. This book, "Mathematical Theories in Strategic Decisions," is your guide to the mathematical underpinnings of decision-making processes that shape our lives, from business strategies that drive economies to healthcare decisions that impact our well-being. In the pages that follow, you'll embark on a quest to unravel the mysteries of mathematical theories and witness their transformative power in action. Each chapter is a portal into a different dimension of decision intelligence, offering you a front-row seat to the intricate dance of numbers, algorithms, and real-world applications. From the classical elegance of Game Theory to the probabilistic precision of Bayesian Statistics, from the structured clarity of Decision Trees to the computational marvel of Monte Carlo Simulation, and finally, to the cutting-edge frontiers of Artificial Intelligence and Machine Learning, you'll explore the full spectrum of mathematical tools that empower decision-makers to navigate complexity and uncertainty. Through immersive case studies, practical examples, and human-like narrative, you'll meet professionals like Dr. Sarah, Emily, and Dr. Mia who harness the power of mathematics to make decisions that matter. You'll witness how mathematical theories optimize business strategies, streamline operations, diagnose diseases, manage risks, and revolutionize healthcare. But this journey is not merely about the mechanics of mathematics; it's about the profound impact it has on our world. It's about enabling us to make better decisions, to allocate resources efficiently, to mitigate risks, and to unlock the doors of innovation and discovery. It's about illuminating the dark corners of uncertainty and guiding us toward informed choices. As you turn the pages of this book, may you find inspiration in the elegance of mathematical theories and the ingenuity of human minds. May you discover that in the intricate dance of numbers, we find the compass to navigate the intricate landscape of decisions.
Fuzzy Decision Analysis: Multi Attribute Decision Making Approach
Author: Farhad Hosseinzadeh Lotfi
language: en
Publisher: Springer Nature
Release Date: 2023-11-24
Authored by a leading expert in the field, this book introduces an innovative methodology that harnesses the power of fuzzy logic to enhance decision-making in multi-attribute scenarios. In a world of complexity and uncertainty, effective decision-making is paramount. Springer proudly presents a cutting-edge publication that revolutionizes decision analysis: "Fuzzy Decision Analysis: Multi-attribute Decision-Making Approach." This book stands at the forefront of decision analysis, introducing the integration of fuzzy logic into multi-attribute decision-making. It is a transformative journey into the realm of advanced decision analysis. It book not only equips you with the knowledge to comprehend the theoretical underpinnings but also empowers you to apply these insights in practical scenarios. This book serves as your indispensable companion. Its comprehensive coverage serves as a beacon, guiding you through the intricate maze of fuzzy logic and multi-attribute decision-making, ultimately empowering you to embrace innovation and master the art of making well-informed decisions in an ever-changing world.