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Optimal Models and Methods with Fuzzy Quantities [electronic resource] / by Bing-Yuan Cao.

By: Cao, Bing-Yuan [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Studies in Fuzziness and Soft Computing: 248Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010Description: 350p. 26 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642107122.Subject(s): Engineering | Artificial intelligence | Engineering mathematics | Engineering | Appl.Mathematics/Computational Methods of Engineering | Artificial Intelligence (incl. Robotics)DDC classification: 519 Online resources: Click here to access online
Contents:
Prepare Knowledge -- Regression and Self-regression Models with Fuzzy Coefficients -- Regression and Self-regression Models with Fuzzy Variables -- Fuzzy Input-Output Model -- Fuzzy Cluster Analysis and Fuzzy Recognition -- Fuzzy Linear Programming -- Fuzzy Geometric Programming -- Fuzzy Relative Equation and Its Optimizing -- Interval and Fuzzy Differential Equations -- Interval and Fuzzy Functional and their Variation.
In: Springer eBooksSummary: The book contains ten chapters as follows, Prepare Knowledge, Regression and Self-regression Models with Fuzzy Coefficients; Regression and Self-regression Models with Fuzzy Variables, Fuzzy Input/output Model, Fuzzy Cluster Analysis and Fuzzy Recognition, Fuzzy Linear Programming, Fuzzy Geometric Programming, Fuzzy Relative Equation and Its Optimizing, Interval and Fuzzy Differential Equations and Interval and Fuzzy Functional and Their Variation. It can not only be used as teaching materials or reference books for under-graduates in higher education, master graduates and doctor graduates in the courses of applied mathematics, computer science, artificial intelligence, fuzzy information process and automation, operations research, system science and engineering, and the like, but also serves as a reference book for researchers in these fields, particularly, for researchers in soft science.
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Prepare Knowledge -- Regression and Self-regression Models with Fuzzy Coefficients -- Regression and Self-regression Models with Fuzzy Variables -- Fuzzy Input-Output Model -- Fuzzy Cluster Analysis and Fuzzy Recognition -- Fuzzy Linear Programming -- Fuzzy Geometric Programming -- Fuzzy Relative Equation and Its Optimizing -- Interval and Fuzzy Differential Equations -- Interval and Fuzzy Functional and their Variation.

The book contains ten chapters as follows, Prepare Knowledge, Regression and Self-regression Models with Fuzzy Coefficients; Regression and Self-regression Models with Fuzzy Variables, Fuzzy Input/output Model, Fuzzy Cluster Analysis and Fuzzy Recognition, Fuzzy Linear Programming, Fuzzy Geometric Programming, Fuzzy Relative Equation and Its Optimizing, Interval and Fuzzy Differential Equations and Interval and Fuzzy Functional and Their Variation. It can not only be used as teaching materials or reference books for under-graduates in higher education, master graduates and doctor graduates in the courses of applied mathematics, computer science, artificial intelligence, fuzzy information process and automation, operations research, system science and engineering, and the like, but also serves as a reference book for researchers in these fields, particularly, for researchers in soft science.

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