Practical Applications of Fuzzy Technologies
Springer Science & Business Media, Dec 6, 2012 - Mathematics - 667 pages
Since the late 1980s, a large number of very user-friendly tools for fuzzy control, fuzzy expert systems, and fuzzy data analysis have emerged. This has changed the character of this area and started the area of `fuzzy technology'. The next large step in the development occurred in 1992 when almost independently in Europe, Japan and the USA, the three areas of fuzzy technology, artificial neural nets and genetic algorithms joined forces under the title of `computational intelligence' or `soft computing'. The synergies which were possible between these three areas have been exploited very successfully.
Practical Applications of Fuzzy Sets focuses on model and real applications of fuzzy sets, and is structured into four major parts: engineering and natural sciences; medicine; management; and behavioral, cognitive and social sciences. This book will be useful for practitioners of fuzzy technology, scientists and students who are looking for applications of their models and methods, for topics of their theses, and even for venture capitalists who look for attractive possibilities for investments.
What people are saying - Write a review
We haven't found any reviews in the usual places.
Civil Engineering Including Earthquake Engineering
Ecological Modeling and Data Analysis 247
Chemistry and Chemical Engineering
Strategic Planning 419
Production Planning and Scheduling Fuzzy and Crisp Approaches
Fuzzy Sets Methodologies in Actuarial Science
BEHAVIORAL COGNITIVE AND SOCIAL SCIENCES
Fuzzy Sets in Human Factors and Ergonomics
Other editions - View all
Aachen aggregation algorithm analysis Antonsson Application of Fuzzy approach ASCE Publication behavior civil engineering classification combination Computing Conference Proceedings configuration control actions control strategy control system crisp decision defined defuzzification described design preference design variables Dong dynamic ecological engineering design evaluation example expert systems fault detection fault diagnosis Figure Furuta fuzzy clustering Fuzzy Constraints fuzzy control Fuzzy Design Fuzzy Goals Fuzzy Information fuzzy logic fuzzy model fuzzy relations fuzzy rule fuzzy set theory Fuzzy Systems genetic algorithms Geographic Information Systems heuristic high level control IEEE implemented imprecise inference input Intelligent Isermann knowledge base knowledge-based Leung linear linguistic variables mathematical MBPC measured membership functions methods modules neural networks nonlinear objects operation optimization output parameter estimation performance PID controller possible predictive problem production regions requirements robot rule base Salski sensor Sets and Systems signal spatial structure symptoms t-norms techniques uncertainty vector Zadeh Zero