Bøger af Jiuping Xu

This book proposes a novel CWW model to personalize individual semantics in linguistic decision making, based on two new concepts: numerical scale and consistency-driven methodology.

This book is intended for researchers and postgraduates who are interested in the consensus reaching process in group decision-making problems. After reading this book, readers will possess a number of valuable tools for building consensus with minimum adjustments in the context of group decision-making.

Among the various multi-level formulations of mathematical models in decision making processes, this book focuses on the bi-level model.

By establishing an innovative range of model technologies, this book develops systematic quantificational methods to provide a new approach to low carbon economics that can serve as a paradigm for general regions.

This book presents the state-of-the-art methodology for modeling, analyzing and solving multiple objective multistage decision making practical application problems under fuzzy-like uncertainty. Includes real-world engineering case studies.

This book applies rough set theory and rough approximation technique to real-world multiple objective decision making (MODM) problems. The authors present several techniques in rough approximation and apply them to case studies in engineering, such as particle swarms and transportation. Progressing from theory to application, the text covers rough set theory, probability theory, and fuzzy set theory; multiple objective rough decision making, bi-level, multiple objective rough decision making, stochastic multiple objective rough decision making, and fuzzy multiple objective rough decision making; and the simulated-based intelligent algorithm.

Using real-life problems, this book presents applications of the fuzzy-like multi-objective decision making (FLMODM) model. It proposes the basic theories, models and algorithms and applies them to solve realistic problems.

This book applies rough set theory and rough approximation technique to real-world multiple objective decision making (MODM) problems. The authors present several techniques in rough approximation and apply them to case studies in engineering, such as particle swarms and transportation. Progressing from theory to application, the text covers rough set theory, probability theory, and fuzzy set theory; multiple objective rough decision making, bi-level, multiple objective rough decision making, stochastic multiple objective rough decision making, and fuzzy multiple objective rough decision making; and the simulated-based intelligent algorithm.

In order to answer these questions, this book provides an up-to-date methodology system 5MRP for random-like multiple objective decision making, which includes problem system with random-like phenomena, model system with random-like coefficients, research system with random-like uncertain methods.