£110.26

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£110 today · all-time low £108 (Jul 2026) · usually £111

Springer Fuzzy Data Analysis: Theory and Decision Library B, 20

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Description

Fuzzy Data Analysis provides practical approaches for processing imprecise data including marks, scores, verbal evaluations, expert opinions and grey tone pictures. This comprehensive volume collects recent research results and presents methods for discovering sub-structures within knowledge bases and evaluating functional relationships essential for diagnostic and control systems. Using fuzzy set theory as its foundation, the book addresses data analysis challenges when working with non-numeric information, offering solutions that extend classical data analysis techniques to handle uncertainty and imprecision. Ideal for professionals in management, decision-making and knowledge engineering seeking rigorous yet accessible methods for real-world fuzzy data problems.

Key Features

Fuzzy Data Analysis covers approaches and methods for processing imprecise data like scores, verbal evaluations and expert opinions in decision-making contexts.

The book presents fuzzy set theory techniques for discovering sub-structures in knowledge bases and evaluating functional relationships.

Methods address data analysis problems typically handled with real numbers but adapted for fuzzy and uncertain information sources.

Part of the Theory and Decision Library B series published by Springer, offering academic rigour for management and decision science applications.

Solutions for developing diagnostic and control systems that work with grey tone pictures and imprecise observations from real-world environments.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
25 September 2012
Listed Since
07 November 2013

Barcode

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