Zadeh L.A., Kacprzyk J. (eds.) Computing with Words in Information - Intelligent Systems 2. Applications

Springer, 1999. — 610 p.Two volumes consisting of Foundations and Applications provide the current status of theoretical and empirical developments in "computing with words". In philosophy, the twentieth century is said to be the century of language. This is mainly due to Wittgenstein who said: "The meaning of a word is its use in the language game". "The concept game is a concept with blurred edges". In the first phrase, "the language game" implies the everyday human activity with language, and in the latter, "game" simply implies an ordinary word. Thus, Wittgenstein precisely stated that a word is fuzzy in real life. Unfortunately this idea about a word was not accepted in the conventional science. We had to wait for Zadeh's fuzzy sets theory. Remembering Wittgenstein's statement, we should consider, on the one hand, the concept of "computing with words" from a philosophical point of view. It deeply relates to the everyday use of a word in which the meaning of a word is fuzzy in its nature.Part 1 Neuro-Fuzzy and Genetic Systems for Computing with Words
Neural Fuzzy Intelligent Agents
Neuro Fuzzy Systems for Data Analysis
A New Fuzzy Inference System Based on Artificial Neural Network and Its Applications
Encouraging Cooperation in the Genetic Iterative Rule Learning Approach for Qualitative Modeling
Part 2 Tools for Linguistic Data Modeling and Analysis
Fuzzy Graphs with Linguistic Input-Outputs by Fuzzy Approximation Models
Part 3 Linguistic Models in System Reliability, Quality Control and Risk Analyses
Lifetime Tests for Vague Data
Systems Analytic Models for Fuzzy Risk Estimation
Part 4 Linguistic Models in Decision Making, Optimization and Control
Decision Analysis by Advanced Fuzzy Systems
Group Decision Making and a Measure of Consensus under Fuzzy Preferences and a Fuzzy Linguistic Majority
Linear Programming with Words
Computing with Words in Control
On Linguistic Fuzzy Constraint Satisfaction Problems
Part 5 Linguistic and Imprecise Information in Databases and Information Systems
Data Models for Dealing with Linguistic and Imprecise Information
Fuzzy Set Approaches to Model Uncertainty in Spatial Data and Geographic Information Systems
Computing Fuzzy Dependencies with Linguistic Labels
The Paradigm of Computing with Words in Intelligent Database Querying
Linguistic Data Mining
Evaluation of Connectionist Information Retrieval in a Legal Document Collection
Part 6 Applications
Using Linguistic Models in Medical Decision Making
The Fuzzy Logic Advisor for Social Judgements: A First Attempt
Conceptualisation with GABEK: Ideas on Social Change in South Africa
A Linguistic Decision Model to Suppliers Selection in International Purchasing
Fuzzy System for Air Traffic Flow Management
A Fuzzy Approach to Contracting Electrical Energy in Competitive Electricity Markets 54
Fuzzy Logic and Intelligent Computing in Nuclear Engineering
Computational Intelligence Techniques in Landmine Detection