Today, Fuzzy Set Theory is the core discipline of so-called ‘soft’ computing, and provides new impetus for research in the field of artificial intelligence. In this fascinating book, the history of Fuzzy Set Theory and the ways it was first used are incorporated into the history of 20th century science and technology. Influences from philosophy, system theory and cybernetics stemming from the earliest part of the 20th century are considered alongside those of communication and control theory from mid-century.
This volume of Advances in Intelligent Systems and Computing highlights key scientific achievements and innovations in all areas of automation, informatization, computer science, and artificial intelligence. It gathers papers presented at the IITI 2017, the Second International Conference on Intelligent Information Technologies for Industry, which was held in Varna, Bulgaria on September 14–16, 2017. The conference was jointly co-organized by Technical University of Varna (Bulgaria), Technical University of Sofia (Bulgaria), VSB Technical University of Ostrava (Czech Republic) and Rostov State Transport University (Russia). The IITI 2017 brought together international researchers and industrial practitioners interested in the development and implementation of modern technologies for automation, informatization, computer science, artificial intelligence, transport and power electrical engineering. In addition to advancing both fundamental research and innovative applications, the conference is intended to establish a new dissemination platform and an international network of researchers in these fields.
An Annotated Timeline of Operations Research: An Informal History recounts the evolution of Operations Research (OR) as a new science - the science of decision making. Arising from the urgent operational issues of World War II, the philosophy and methodology of OR has permeated the resolution of decision problems in business, industry, and government. The Timeline chronicles the history of OR in the form of self-contained, expository entries. Each entry presents a concise explanation of the events and people under discussion, and provides key sources where further relevant information can be obtained. In addition, books and papers that have influenced the development of OR or helped to educate the first generations of OR academics and practitioners are cited throughout the book. Starting in 1564 with seminal ideas that form the precursors of OR, the Timeline traces the key ideas and events of OR through 2004. The Timeline should interest anyone involved in OR - researchers, practitioners, academics, and, especially, students - who wish to learn how OR came into being. Further, the scope and expository style of the Timeline should make it of value to the general reader interested in the development of science and technology in the last half of the twentieth century.
The proclivity of today’s technology to think like humans may be seen in new developing disciplines such as neural computing, fuzzy logic, evolutionary computation, machine learning, and probabilistic reasoning. These strategies are grouped together into one main technique known as "soft computing." This book discusses the most recent soft computing and fuzzy logic-based applications and innovations in industrial advancements, supply chain and logistics, system optimization, decision-making, artificial intelligence, smart systems, and other rapidly evolving technologies. In today’s competitive world, the book provides soft computing solutions to help companies overcome the obstacles posed by sophisticated decision-making systems.
The notion of Fuzziness stands as one of the really new concepts that have recently enriched the world of Science. Science grows not only through technical and formal advances on one side and useful applications on the other side, but also as consequence of the introduction and assimilation of new concepts in its corpus. These, in turn, produce new developments and applications. And this is what Fuzziness, one of the few new concepts arisen in the XX Century, has been doing so far. This book aims at paying homage to Professor Lotfi A. Zadeh, the “father of fuzzy logic” and also at giving credit to his exceptional work and personality. In a way, this is reflected in the variety of contributions collected in the book. In some of them the authors chose to speak of personal meetings with Lotfi; in others, they discussed how certain papers of Zadeh were able to open for them a new research horizon. Some contributions documented results obtained from the author/s after taking inspiration from a particular idea of Zadeh, thus implicitly acknowledging him. Finally, there are contributions of several “third generation fuzzysists or softies” who were firstly led into the world of Fuzziness by a disciple of Lotfi Zadeh, who, following his example, took care of opening for them a new road in science. Rudolf Seising is Adjoint Researcher at the European Centre for Soft Computing in Mieres, Asturias (Spain). Enric Trillas and Claudio Moraga are Emeritus Researchers at the European Centre for Soft Computing, Mieres, Asturias (Spain). Settimo Termini is Professor of Theoretical Computer Science at the University of Palermo, Italy and Affiliated Researcher at the European Centre for Soft Computing, Mieres, Asturias (Spain)
This book tells the story of how financial markets have evolved over time and became increasingly more complex. The author, a successful and experienced trader, who among other things won the 2015 battle of the quants futures contest held in New York, shares how one can navigate today's dangerous financial markets and be successful. Readers at all levels will benefit from his analysis and many real life examples and experiences. The coverage is broad and there is considerable discussion on ways to stay out of trouble, protect oneself and grow one's assets. The author was the first one to do turn of the year January effect trades in the futures markets starting in the beginning of S&P 500 futures trading in 1982. That has been successful and the author explains his ideas and experiences from the beginning in simple markets to the current, very complex markets we have in 2017.The author discusses the various ways that traders and investors lose money in the financial markets. Many examples are provided, including Long Term Capital Management, ENRON, Amarath, Neiderhoffer's funds and many major companies such as Lehman Brothers, Society Generale, Saloman Brothers. This is invaluable to understanding ways to avoid such losses.The author discusses great investors, their methods and evaluation and the authors' work with several of them. Risk arbitrage and mean reversion strategies are described through actual use. Asset-liability models for pension funds, insurance companies and other financial institutions devised by the author are described. The author uses racetrack bias ideas in behavorial finance in trading index futures and options. Large stock market crashes that can be predicted are discussed with several models of the author and others. Many mini crashes including the January-February 2016, Brexit, Trump and French elections that are plausible but largely unpredictable are described and how they were dealt with successfully.Along with ways to deal with them, investment in top quality racehorses, oriental carpets, real estate and other interesting investments are covered. The author was instrumental in viewing racing as a stock market. The ideas are used by the top racing syndicates as well as hedge funds.The book proceeds by weaving these aspects of the financial markets in the modern era into a story of the author's academic, professional and personal life. This is told through the people he met and worked with and the academic and personal travel he had all over the world this past half century. The text is simply written with details, sources and references in the notes of each chapter. Details of various important events and how they evolved are described. There are numerous color and black and white photos in the text plus graphs, tables etc. in the notes to tell the story. The teaching and research into various financial and gambling markets takes the reader to interesting places around the world. These include the US and its many stock market ups and downs, Japan when they were ruling the financial world and then they collapsed, the UK visits with lectures, teaching and research work at their great Universities including Cambridge and Oxford, Europe with many activities in France, Italy, Germany and other places, to Asia including discussions about travels to Persia, Turkey, Singapore, Korea, China, Afghanistan, Russia and other countries. Also discussed are visits to U.S. universities including Chicago, MIT, Berkeley, UCLA and Washington. His work with horse racing syndicates took him to Australia and Hong Kong. Crises like those in Greece, US housing and internet and the flash crash are discussed.
This book is a collection of applications of analytic techniques to a number of popular sports including baseball, basketball, hockey, Jai Alai, NFL football and horseracing. We focus on both the statistics of the sporting events and betting strategies on the events. The subject is fascinating as there are many twists and subtle complicated decisions.Sports analytics applies mathematical and statistical methods to important questions in the structure and performance of sporting activities using the same basic methods and approaches as data analysts in other disciplines.Sports games and events are a fruitful area for study and to evaluate betting strategies as there is extensive data and mean reversion. With prices changing continuously, risk arbitrage bets can be made. Moreover, little errors, like a penalty to a player or an error in a call by a referee, can change the score of a game and corresponding betting prices. The collection and analysis of in-game data can inform players, coaches and staff on effective decision making during sporting events.Novel features of the book include: an analysis of who were the greatest baseball batters; analyses of the players most important to team success (and they are not necessarily the best players) in basketball, NFL football and hockey; a tutorial on risk arbitrage and its applications to NFL football and NBA basketball; a discussion of many ad hoc decision rules by coaches and players and what was really optimal; in the racing section we discuss breeding, the analysis of various bets like the Rainbow and ordinary Pick 6, a discussion and betting on the most important races and a visit to the Breeders' Cup with Ed Thorp to demonstrate the place and show system in action.
In this moving spiritual memoir, one of America's most important psychic investigators, Nancy Myer, recalls her evolution as a person with psychic abilities, her struggle to accept the intuitive gifts she was given, and her desire to lead a “normal” life raising three energetic children. But when the highest-ranking official in the Delaware State Police asks her to use her psychic gifts to help solve murder cases, her normal life is turned upside-down, beginning an unorthodox career in which she is forced to deal with “the worst of humanity.” In her numerous consultations with law enforcement, she receives guidance and support from the ghost of her father, who had also possessed some intuitive abilities. His passing and return visits from "the other side" are what unlocks her true nature and extraordinary gifts. Part love story and part mystery, with vivid descriptions of some of her toughest criminal cases, she explores some of the most profound questions of the universe: What is our purpose here on earth? What happens at the end of a lifetime? and Where does the soul go? As Nancy reveals in the remarkable story of her relationship with her father, before his death and after, the end isn’t really an end at all, but merely a transition to new worlds.
In essence, Computing with Words (CWW) is a system of computation in which the objects of computation are predominantly words, phrases and propositions drawn from a natural language. CWW is based on fuzzy logic. In science there is a deep-seated tradition of according much more respect to numbers than to words. In a fundamental way, CWW is a challenge to this tradition. What is not widely recognized is that, today, words are used in place of numbers in a wide variety of applications ranging from digital cameras and household appliances to fraud detection systems, biomedical instrumentation and subway trains. CWW offers a unique capability—the capability to precisiate natural language. Unprecisiated (raw) natural language cannot be computed with. A key concept which underlies precisiation of meaning is that of the meaning postulate: A proposition, p, is a restriction on the values which a variable, X—a variable which is implicit in p—is allowed to take. CWW has an important ramification for mathematics. Addition of the formalism of CWW to mathematics empowers mathematics to construct mathematical solutions of computational problems which are stated in a natural language. Traditional mathematics does not have this capability.
