In a world of almost permanent and rapidly increasing electronic data availability, techniques of filtering, compressing, and interpreting this data to transform it into valuable and easily comprehensible information is of utmost importance. One key topic in this area is the capability to deduce future system behavior from a given data input. This book brings together for the first time the complete theory of data-based neurofuzzy modelling and the linguistic attributes of fuzzy logic in a single cohesive mathematical framework. After introducing the basic theory of data-based modelling, new concepts including extended additive and multiplicative submodels are developed and their extensions to state estimation and data fusion are derived. All these algorithms are illustrated with benchmark and real-life examples to demonstrate their efficiency. Chris Harris and his group have carried out pioneering work which has tied together the fields of neural networks and linguistic rule-based algortihms. This book is aimed at researchers and scientists in time series modeling, empirical data modeling, knowledge discovery, data mining, and data fusion.

Sustainable capitalism knowledge is often assumed for exclusively association with information about some forms of environmental crises. When we speak of sustainable, and unsustainable, we speak of a systemic crisis of both long-term dimension in the economy and business models, on all levels. We talk of local to the global crisis, with detrimental effects on humans and the environment, as well as economic organizations, of various kinds, often forfeiting any economic, social, and environmental future. The long-term crisis is a crisis of long-term investment, but it is also a crisis of human and ecological capital. The authors propose a new conceptual business model, polycentric at many levels. This research is an attempt to contribute to the global alliance for such sustainable capitalism in the making. In part, this is an ambitious undertaking, as the authors analyzed vital United Nations (UN) documents on sustainable development, as part of what they advocate as sustainable capitalism, as a systemic response to existing shortcomings of the present model. This text attempts to educate global stakeholders about the importance, the rationale, and the pathway to introduce sustainable capitalism into global economics and business models.

In a world of almost permanent and rapidly increasing electronic data availability, techniques of filtering, compressing, and interpreting this data to transform it into valuable and easily comprehensible information is of utmost importance. One key topic in this area is the capability to deduce future system behavior from a given data input.

This book brings together for the first time the complete theory of data-based neurofuzzy modelling and the linguistic attributes of fuzzy logic in a single cohesive mathematical framework. After introducing the basic theory of data-based modelling, new concepts including extended additive and multiplicative submodels are developed and their extensions to state estimation and data fusion are derived. All these algorithms are illustrated with benchmark and real-life examples to demonstrate their efficiency.

Chris Harris and his group have carried out pioneering work which has tied together the fields of neural networks and linguistic rule-based algortihms. This book is aimed at researchers and scientists in time series modeling, empirical data modeling, knowledge discovery, data mining, and data fusion.

Like Advanced Economies and Emerging Markets, the 'flagship' book of the series, from which this book is derived, Comparing Emerging and Advanced Markets recognizes that there is intense competition among emerging markets to capture their share of the global economy. The series addresses questions that are germane to accomplishing this goal. Most important to this end is the study and practice of international business and foreign trade. Undertaking such a study raises many questions which the series will attempt to answer: Why are emerging markets and the firms doing business in them internationalizing so aggressively; and why in the past decade has the pace of internationalization accelerated so rapidly? What competitive advantages do these emerging economies enjoy in comparison to advanced economies, such as the G20, and what are the origins of those advantages? This volume is devoted to a comparison of advanced economies and emerging ones, the advantages and disadvantages of each, and what globalization means in each type of environment.