Distributed Decision Making Under Incomplete Information

Distributed Decision-making Under Incomplete Information

Distributed Linguistic Representations and Decision Making

This book provides a comprehensive perspective on the development of distributed linguistic representations in decision making, including the taxonomy of existing distributed linguistic representations, the key elements, and the classifications. It systematically investigates the formation of distributed linguistic representations and the methodology for the distributed linguistic information transformations and unifications, as well as the fusion and consensus reaching. This book studies the distributed linguistic information in MADM and the PIS-based applications of distributed linguistic information processing in decision making. Distributed linguistic representations are powerful tools for modelling the uncertainty and complexity of preference information in linguistic decision making. This book is written for researchers and postgraduates interested in linguistic decision making. Readers will find out lots of clear cues for distributed linguistic representations and distributed linguistic methodology to support decision making.

World Scientific Reference On Innovation, The (In 4 Volumes)

This multi-volume set covers a wide range of topics on innovation, which are all of great interest to academics, policymakers, university administrators, state and regional economic development officials, and students. Two unique features of the volume are the large body of global evidence on innovation presented and its consideration of the following timely and important topics in innovation: cybersecurity, open innovation, the globalization of R&D, and university technology transfer. Innovation is a topic of great importance in many fields in business administration, such as management, strategy, operations management, finance, marketing, and accounting, as well as in numerous social science disciplines, including economics, sociology, political science, and psychology. This volume fully reflects such interdisciplinary approaches.Volume 1 provides extensive global evidence on university technology transfer and innovation partnerships. Volume 2 is focused on the managerial and public policy implications of the globalization of R&D. Volume 3 presents start-of-the-art theoretical and empirical evidence on open innovation. Volume 4 is a comprehensive analysis of cybersecurity. This set is essential reading for those who wish to have a comprehensive understanding of the antecedents and consequences of innovation.