Super Fuzzy Matrices and Super Fuzzy Models for Social Scientists
by W. B. V. Kandasamy, F. Smarandache, K. Amal
Publisher: InfoLearnQuest 2008
Number of pages: 280
This book introduces the concept of fuzzy super matrices and operations on them. The author has provided only those operations on fuzzy supermatrices that are essential for developing super fuzzy multi expert models. This book will be highly useful to social scientists who wish to work with multi expert models.
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- LSE Public Policy Group
This Handbook opens the door to researchers achieving a more focused approach to their research. It provides sound advice and guidance on how to ensure that your work achieves its maximum visibility with both academic and external audiences.
by Marcus Pivato - Trent University
An introduction to social choice theory, which uses mathematics to study the strengths/weaknesses of voting systems, arbitration schemes, and other methods of group decision making. Lots of pictures, requires only basic linear algebra.
by Johann Mouton, H.C. Marais - HSRC Press
This is one of the leading methodology textbooks in South African tertiary education. It provides an introduction to the fundamental concept of social science research, and complements books on specific research methods and techniques.
by Robert A. Hanneman, Mark Riddle - University of California, Riverside
The authors' goal in preparing this book is to provide a very basic introduction to the core ideas of social network analysis, and how these ideas are implemented in the methodologies that many social network analysts use.