This book shows how the application of fuzzy logic can benefit management, group decision making, strategic planning, supply chain management and other business imperatives. The theoretical analysis is fully supported by real-life case studies. The book develops themes that businesses can use to master effectiveness and quality, work with flexibility, and support continuous learning in the organization and the individual.
Phytoestrogens are plant-derived compounds that may bind to estrogen receptors, but with less affinity than the natural ligand estradiol. They may be biologically active as such or after metabolization in our body. To investigate the occurrence and level of phytoestrogens, scientific literature was screened for data on isoflavones, lignans, stilbenes and coumestans in raw and processed foods of plant origin. The review presents data based both on analytical methods hydrolysing glucosides and non-destructive methods.Many phytoestrogens are phytoalexins. Their production is induced when plants are exposed to abiotic and/or biotic stress. This could explain the rather different levels reported in plants by various investigators, and indicates that many samples are required to describe the levels generally occurring in foodstuffs. The influence of food processing was also considered.
As elite communities in medieval societies the Military Orders were driven by the ambition to develop built environments that fulfilled monastic needs as well as military requirements and, in addition, residential and representational purposes. Growing affluence and an international orientation provided a wide range of development potential. That this potential was in fact exploited may be exemplified by the advanced fortifications erected by Templars and Hospitallers in the Levant. Although the history of the Military Orders has been the subject of research for a long time, their material legacy has attracted less attention. In recent years, however, a vast range of topics concerning the Orders’ building activities has become the object of investigation, primarily with the help of archaeology. They comprise the choice of sites and building materials, provision and storage of food and water, aspects of the daily life, the design and layout of commanderies, churches and fortifications, their spatial arrangement, and the role these buildings played in their environmental context. This volume contains ten articles discussing the archaeology and architecture of buildings erected by the three major Military Orders in different geographical regions. They cover most countries of Western Europe and include a number of important fortifications in the Levant. These studies break new ground in the investigation of the built fabric of the Military Orders. Written by noted international scholars this publication is an important contribution to modern research on these institutions, which, in their association of monasticism and knighthood, were so typical for the Middle Ages.
This book starts with the basic concepts of fuzzy sets and progresses through a normative view on possibility distributions and OWA operators in multiple criteria decisions. Five applications (that all build on experience from solving complex real world problems) of possibility distributions to strategic decisions about closing/not closing a production plant using fuzzy real options, portfolio selection with imprecise future data, predictive probabilities and possibilities for risk assessment in grid computing, fuzzy ontologies for process industry, and design (and implementation) of mobile value services are presented and carefully discussed. It can be useful for researchers and students working in soft computing, real options, fuzzy decision making, grid computing, knowledge mobilization and mobile value services.
Many decision-making tasks are too complex to be understood quantitatively, however, humans succeed by using knowledge that is imprecise rather than precise. Fuzzy logic resembles human reasoning in its use of imprecise informa tion to generate decisions. Unlike classical logic which requires a deep under standing of a system, exact equations, and precise numeric values, fuzzy logic incorporates an alternative way of thinking, which allows modeling complex systems using a higher level of abstraction originating from our knowledge and experience. Fuzzy logic allows expressing this knowledge with subjective concepts such as very big and a long time which are mapped into exact numeric ranges. Since knowledge can be expressed in a more natural by using fuzzy sets, many decision (and engineering) problems can be greatly simplified. Fuzzy logic provides an inference morphology that enables approximate human reasoning capabilities to be applied to knowledge-based systems. The theory of fuzzy logic provides a mathematical strength to capture the un certainties associated with human cognitive processes, such as thinking and reasoning. The conventional approaches to knowledge representation lack the means for representating the meaning of fuzzy concepts. As a consequence, the approaches based on first order logic do not provide an appropriate con ceptual framework for dealing with the representation of commonsense knowl edge, since such knowledge is by its nature both lexically imprecise and non categorical.
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.