Mathematics Of Uncertainty Ideas Methods Application Problems 2005 Edition at Meripustak

Mathematics Of Uncertainty Ideas Methods Application Problems 2005 Edition

Books from same Author: Hans Bandemer

Books from same Publisher: Springer

Related Category: Author List / Publisher List


  • Retail Price: ₹ 16047/- [ 0.00% off ]

    Seller Price: ₹ 16047

Sold By: T K Pandey      Click for Bulk Order

Offer 1: Get ₹ 111 extra discount on minimum ₹ 500 [Use Code: Bharat]

Offer 2: Get 0.00 % + Flat ₹ 100 discount on shopping of ₹ 1500 [Use Code: IND100]

Offer 3: Get 0.00 % + Flat ₹ 300 discount on shopping of ₹ 5000 [Use Code: MPSTK300]

Free Shipping (for orders above ₹ 499) *T&C apply.

In Stock

Free Shipping Available



Click for International Orders
  • Provide Fastest Delivery

  • 100% Original Guaranteed
  • General Information  
    Author(s)Hans Bandemer
    PublisherSpringer
    ISBN9783540284574
    Pages190
    BindingHardback
    LanguageEnglish
    Publish YearDecember 2005

    Description

    Springer Mathematics Of Uncertainty Ideas Methods Application Problems 2005 Edition by Hans Bandemer

    "Mathematics of Uncertainty" provides the basic ideas and foundations of uncertainty covering the fields of mathematics in which uncertainty variability imprecision and fuzziness of data are of importance. This introductory book describes the basic ideas of the mathematical fields of uncertainty from simple interpolation to wavelets from error propagation to fuzzy sets and neural networks. The book presents the treatment of problems of interpolation and approximation as well as observation fuzziness which can essentially influence the preciseness and reliability of statements on functional relationships. The notions of randomness and probability are examined as a model for the variability of observation and measurement results. Besides these basic ideas the book also presents methods of qualitative data analysis such as cluster analysis and classification and of evaluation of functional relationships such as regression analysis and quantitative fuzzy data analysis. Table of contents : Mathematical Representation of Simple Data and Connections.- Specification and Use of Observation Fuzziness.- Specification and Use of Uncertain Variability.- Specification of Vagueness of Statements on Sets.- Methods from Qualitative Data Analysis.- Evaluation of Functional Relationships.- Outlook and Conclusions.