Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy etc. Methods and Their Applications: 835 (Studies in Computational Intelligence, 835) - Image 1

£113.73

Springer Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy etc. Methods and Their Applications: 835 (Studies in Computational Intelligence, 835)

Name: Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy etc. Methods and Their Applications: 835 (Studies in Computational Intelligence, 835)
Brand: Springer
Price: 113.73 GBP
Availability: InStock

AI & Machine Learning

This is the most expensive it has ever been. Walk away.

£114 today · previous high £114 · all-time low £104

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 638 days • 638 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 638 days • 7 price levels

Days at Price

Current Price

Price Analysis

Most common price: £107 (210 days, 32.9%)

Price range: £104 - £114

Price levels: 7 different prices over 638 days

Description

Data processing has become essential to modern civilization. The original data for this processing comes from measurements or from experts, and both sources are subject to uncertainty. Traditionally, probabilistic methods have been used to process uncertainty. However, in many practical situations, we do not know the corresponding probabilities: in measurements, we often only know the upper bound on the measurement errors; this is known as interval uncertainty. In turn, expert estimates often include imprecise (fuzzy) words from natural language such as "small"; this is known as fuzzy uncertainty. In this book, leading specialists on interval, fuzzy, probabilistic uncertainty and their combination describe state-of-the-art developments in their research areas. Accordingly, the book offers a valuable guide for researchers and practitioners interested in data processing under uncertainty, and an introduction to the latest trends and techniques in this area, suitable for graduate students. From the Back Cover Data processing has become essential to modern civilization. The original data for this processing comes from measurements or from experts, and both sources are subject to uncertainty. Traditionally, probabilistic methods have been used to process uncertainty. However, in many practical situations, we do not know the corresponding probabilities: in measurements, we often only know the upper bound on the measurement errors; this is known as interval uncertainty. In turn, expert estimates often include imprecise (fuzzy) words from natural language such as "small"; this is known as fuzzy uncertainty. In this book, leading specialists on interval, fuzzy, probabilistic uncertainty and their combination describe state-of-the-art developments in their research areas. Accordingly, the book offers a valuable guide for researchers and practitioners interested in data processing under uncertainty, and an introduction to the latest trends and techniques in this area, suitable for graduate students.

Product Specifications

Brand: Springer
Format: Hardcover
ASIN: 303031040X
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 29 February 2020
Listed Since: 08 August 2019

Barcode

No barcode data available

Springer Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy etc. Methods and Their Applications: 835 (Studies in Computational Intelligence, 835)

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Propagation of Interval and Probabilistic Uncertainty in Cyberinfrastructure-related Data Processing and Data Fusion: 15 (Studies in Systems, Decision and Control, 15)

Nonlinear Mathematics for Uncertainty and its Applications: 100 (Advances in Intelligent and Soft Computing, 100)

Combining Interval, Probabilistic, and Other Types of Uncertainty in Engineering Applications: 773 (Studies in Computational Intelligence, 773)

Nonlinear Mathematics for Uncertainty and its Applications: 100 (Advances in Intelligent and Soft Computing, 100)

Uncertainty in Information Systems: An Introduction to Techniques and Applications (Advanced Topics in Computer Science)

Uncertainty Modelling in Data Science: 832 (Advances in Intelligent Systems and Computing, 832)

Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods with Applications: 814 (Studies in Computational Intelligence, 814)

Synergies of Soft Computing and Statistics for Intelligent Data Analysis: 190 (Advances in Intelligent Systems and Computing, 190)

Soft Methods for Handling Variability and Imprecision: 48 (Advances in Intelligent and Soft Computing, 48)

Aggregation and Fusion of Imperfect Information: 12 (Studies in Fuzziness and Soft Computing, 12)

Recent Developments and New Direction in Soft-Computing Foundations and Applications: Selected Papers from the 4th World Conference on Soft Computing, ... in Fuzziness and Soft Computing, 342)

Mathematics of Uncertainty: Ideas, Methods, Application Problems: 189 (Studies in Fuzziness and Soft Computing, 189)

Advances in Computational Intelligence Systems: Contributions Presented at the 19th UK Workshop on Computational Intelligence, September 4-6, 2019, ... in Intelligent Systems and Computing, 1043)

Fuzzy Modeling and Control: 69 (Studies in Fuzziness and Soft Computing, 69)

Recent Developments and the New Direction in Soft-Computing Foundations and Applications: Selected Papers from the 6th World Conference on Soft ... in ... Computing, May 22-25, 2016, Berkeley, USA

Towards Intelligent Engineering and Information Technology: 243 (Studies in Computational Intelligence, 243)

Pairwise Comparison Matrices and their Fuzzy Extension: Multi-criteria Decision Making with a New Fuzzy Approach: 366 (Studies in Fuzziness and Soft Computing, 366)

Springer Recent Advances of Hybrid Intelligent Systems 915

Scientific Methods for the Treatment of Uncertainty in Social Sciences: 377 (Advances in Intelligent Systems and Computing, 377)

Nature-Inspired Design of Hybrid Intelligent Systems: 667 (Studies in Computational Intelligence, 667)

Nature-Inspired Design of Hybrid Intelligent Systems: 667 (Studies in Computational Intelligence, 667)

Accuracy Improvements in Linguistic Fuzzy Modeling: 129 (Studies in Fuzziness and Soft Computing, 129)

Integrating Soft Computing into Strategic Prospective Methods: Towards an Adaptive Learning Environment Supported by Futures Studies: 387 (Studies in Fuzziness and Soft Computing, 387)

Mathematics of Uncertainty for Coping with World Challenges: Climate Change, World Hunger, Modern Slavery, Coronavirus, Human Trafficking: 353 (Studies in Systems, Decision and Control, 353)