Guangquan Zhang

TL;DR: This paper reviews up-to-date application developments of recommender systems, clusters their applications into eight main categories, and summarizes the related recommendation techniques used in each category.

TL;DR: This paper systematically examines computational intelligence-based transfer learning techniques and clusters related technique developments into four main categories and provides state-of-the-art knowledge that will directly support researchers and practice-based professionals to understand the developments in computational Intelligence- based transfer learning research and applications.

TL;DR: A high quality, instructive review of current research developments and trends in the concept drift field is conducted, and a framework of learning under concept drift is established including three main components: concept drift detection, concept drift understanding, and concept drift adaptation.

Abstract: This book proposes a set of models to describe fuzzy multi-objective decision making (MODM), fuzzy multi-criteria decision making (MCDM), fuzzy group decision making (GDM) and fuzzy multi-objective group decision-making problems, respectively. It also gives a set of related methods (including algorithms) to solve these problems. One distinguishing feature of this book is that it provides two decision support systems software for readers to apply these proposed methods. A set of real-world applications and some new directions in this area are then described to further instruct readers how to use these methods and software in their practice.

TL;DR: In this article, a set of models to describe fuzzy multiobjective decision making (MODM), fuzzy multi-criteria decision making, fuzzy group decision-making (GDM), fuzzy MCDM, and fuzzy Multi-Objective Group Decision Making (MOGD) problems are presented.