Large Scale Group Decision Making With Uncertain And Behavioral Considerations

This book investigates in detail large-scale group decision-making (LSGDM) problem, which has gradually evolved from the traditional group decision-making problem and has attracted more and more attention in the age of big data. Pursuing a holistic approach, the book establishes a fundamental framework for LSGDM with uncertain and behavioral considerations. To address the behavioral uncertainty and complexity of large groups of decision-makers, this book mainly focuses on new solutions of LSGDM problems using the interval type-2 fuzzy uncertainty theory and social network analysis techniques, including the exploration of uncertain clustering analysis, the consideration of social relationships, especially trust relationships, the construction of consensus evolution networks, etc. The book is intended for researchers and postgraduates who are interested in complex group decision-making in the new media era. Authors also investigate the similar features between LSGDM problems and group recommendations to study the applications of LSGDM methods. After reading this book, readers will have a new understanding of the LSGDM study under the real complicated context.

The idea for this volume took root during a recent annual convention of the American Psychological Association. The contributors share a common vision of research in their particular area and have had an opportunity to debate and clarify their ideas. Taken as a whole, the fifteen chapters provide an exciting perspective of the field and form a basic set of readings for courses on individual and group decision making in a variety of disciplines. The coverage from basic laboratory research to complex applied group decision processes should challenge researchers and students to pursue the field of decision making as enthusiastic scientists and practitioners.

ecision making is one of the most important activities in both our profes D sional and our private lives today. The literature on the subject has grown considerably over the last fifty years and it now covers many different approaches to the subject. These approaches range from that of creating a mathematical model of the decision situation under consideration, as in operations research and other forms of mathematical decision analysis, to those that are based on human and organizational behavior. Recently, those working in the field have begun to combine approaches to the study of decision situations that arise in organizations, in our personal lives and in the communities in which we live. This book is an attempt to assist those concerned with decision making to work with this combination of approaches. In the past, decision problems have been considered according to the condi tions under which they arise and to some extent in terms of the approaches available for their resolution. Writers on the subject who are mathematically oriented have devised a method of classifying decisions based on the type of mathematics that they suggest be used in the resolution of the problems. This approach leads to the division of decision situations into the categories of cer tainty, uncertainty, risk and competition. Deterministic models available in oper ations research have then been offered as the means of treating decision situations in the category of certainty.

The success of any business relies heavily on the evaluation and improvement on current strategies and processes. Such progress can be facilitated by implementing more effective decision-making systems. Tools and Techniques for Economic Decision Analysis provides a thorough overview of decision models and methodologies in the context of business economics. Highlighting a variety of relevant issues on finance, economic policy, and firms and networks, this book is an ideal reference source for managers, professionals, students, and academics interested in emerging developments for decision analysis.

This volume reports on the excavation of Guilá Naquitz cave in Oaxaca, a site that provides important evidence for the earliest plant domestication in the New World. Stratigraphic studies, examinations of artifactual and botanical remains, simulations, and an imaginative reconstruction make this a model project of processual archaeology.

First Published in 1993. Routledge is an imprint of Taylor & Francis, an informa company.

This 2-volume set within the SAGE Reference Series on Leadership tackles issues relevant to leadership in the realm of science and technology. To encompass the key topics in this arena, this handbook features 100 topics arranged under eight headings. Volume 1 concentrates on general principles of science and technology leadership and includes sections on social-scientific perspectives on S&T leadership; key scientific concepts about leading and innovating in S&T; characteristics of S&T leaders and their environments; and strategies, tactics, and tools of S&T leadership. Volume 2 provides case studies of leadership in S&T, with sections considering leadership in informal communities of scientists and engineers; leadership in government projects and research initiatives; leadership in industry research, development, and innovation; and finally, leadership in education and university-based research. By focusing on key topics within 100 brief chapters, this unprecedented reference resource offers students more detailed information and depth of discussion than typically found in an encyclopedia entry but not as much jargon, detail or density as in a journal article or a research handbook chapter. Entries are written in language and style that is broadly accessible, and each is followed by cross-references and a brief bibliography and further readings. A detailed index and an online version of the work enhances accessibility for today's student audience.