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.

MULTI-OBJECTIVE GROUP DECISION MAKING: METHODS SOFTWARE AND APPLICATIONS WITH FUZZY SET TECHNIQUES (WITH CD-ROM) (Electrical and Computer Engineering)

Business & Money

Lu, Jie

Ruan, Da

Wu, Fengjie

Zhang, Guang-Quan

Management & Leadership

IMPERIAL COLLEGE PRESS

Lattice-valued Logic aims at establishing the logical foundation for uncertain information processing routinely performed by humans and artificial intelligence systems. In this textbook for the first time a general introduction on lattice-valued logic is given. It systematically summarizes research from the basic notions up to recent results on lattice implication algebras, lattice-valued logic systems based on lattice implication algebras, as well as the corresponding reasoning theories and methods. The book provides the suitable theoretical logical background of lattice-valued logic systems and supports newly designed intelligent uncertain-information-processing systems and a wide spectrum of intelligent learning tasks.

Lattice-Valued Logic: An Alternative Approach to Treat Fuzziness and Incomparability (Studies in Fuzziness and Soft Computing, 132)

Liu, Jun

Xu, Yang

Qin, Keyun

Reference

Springer

Lattice-valued Logic aims at establishing the logical foundation for uncertain information processing routinely performed by humans and artificial intelligence systems. In this textbook for the first time a general introduction on lattice-valued logic is given. It systematically summarizes research from the basic notions up to recent results on lattice implication algebras, lattice-valued logic systems based on lattice implication algebras, as well as the corresponding reasoning theories and methods. The book provides the suitable theoretical logical background of lattice-valued logic systems and supports newly designed intelligent uncertain-information-processing systems and a wide spectrum of intelligent learning tasks.

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.

LINGUISTIC VALUES BASED INTELLIGENT INFORMATION PROCESSING: THEORY, METHODS AND APPLICATIONS (Atlantis Computational Intelligence Systems)

Computers & Technology

Pei, Zheng

Computer Science

Atlantis Press / World Scientific

Key issues in applied and fundamental research related to fuzzy logic and intelligent technologies in the nuclear industry and related fields were addressed by this workshop. The papers in this volume were carefully selected from a large number of contributions, and cover applications in radiation protection, nuclear safety (human factors and reliability), safeguards, nuclear power plant control, decision making and nuclear reactor control. The papers are categorized into three groups, namely: mathematics (basic tools for the treatment of fuzzy logic); engineering (knowledge-based engineering, expert systems, etc.); and nuclear science.

FUZZY LOGIC AND INTELLIGENT TECHNOLOGIES IN NUCLEAR SCIENCE - PROCEEDINGS OF THE 1ST INTERNATIONAL WOKSP FLINS '94

Engineering & Transportation

D'Hondt, Pierre

Govaerts, Paul

Engineering

World Scientific Pub Co Inc

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