by Pei Zheng (Xihua University, China) , Ruan Da (Belgian Nuclear Centre, Belgium & University of Ghent, Belgium) , Liu Jun (University of Ulster, Ireland) , & Xu Yang (Southwest Jiaotong University, China)

This book focuses on systematic and intelligent information processing theories and methods based on linguistic values. The main contents include topics such as the 2-tuple model of linguistic values, 2-tuple linguistic aggregation operator hedge algebras, complete hedge algebras and linguistic value reasoning, reasoning with linguistic quantifiers, linguistic reasoning based on a random set, the fuzzy number model of linguistic values, linguistic value aggregation based on the fuzzy number model, extraction of linguistic proposition from a database and handling of linguistic information on the Internet, linguistic truth value lattice implication algebras, linguistic truth value resolution automatic reasoning, linguistic truth value reasoning based on lattice implication algebra, and related applications in decision-making and forecast.

• Introduction
• Intelligent Information Processing Theories and Methods Based on 2-Tuple Fuzzy Linguistic Representation Model
• Intelligent Information Processing Theories and Methods Based on Imprecise Probabilities and Random Set
• Fuzzy Number Model of Linguistic Values and Application in Decision Making
• Intelligent Information Processing Theories and Methods Based on Hedge Algebras
• Intelligent Information Processing Theory and Methods Based on Lattice Implication Algebras