Data engineering: Fuzzy mathematics in systems theory and data analysis

✍ Scribed by Wolkenhauser O.

Publisher: Wiley
Year: 2001
Tongue: English
Leaves: 287
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

System scientists wielding the tools of fuzzy math have a central role to play in modeling increasingly complex engineering and operations research problems of an interdisciplinary nature, according to the author. To cope with real world uncertainties and provide a philosophical and practical guide to system modeling, system identification, and decision-making, several methodologies are presented from probability theory, possibility theory, and fuzzy mathematics. Appends material on sets, relations, and mapping; measuring forecast accuracy; clustering; measuring spaces and integrals; unbiasedness of estimators; statistical reasoning; and frequency analysis. Wolkenhauer is affiliated with the U. of Manchester Institute of Science and Technology"

📜 SIMILAR VOLUMES

Data Engineering: Fuzzy Mathematics in S

📁 Data Engineering: Fuzzy Mathematics in Systems Theory and Data Analysis

✍ Olaf Wolkenhauer 📂 Library 📅 2001 🌐 English

Although data engineering is a multi-disciplinary field with applications in control, decision theory, and the emerging hot area of bioinformatics, there are no books on the market that make the subject accessible to non-experts. This book fills the gap in the field, offering a clear, user-friendly

Data engineering : fuzzy mathematics in

📁 Data engineering : fuzzy mathematics in systems theory and data analysis

✍ Olaf Wolkenhauer 📂 Library 📅 2001 🏛 Wiley 🌐 English

Data Engineering. Fuzzy Mathematics in S

📁 Data Engineering. Fuzzy Mathematics in Systems Theory and Data Anabsis

✍ Olaf Wolkenhauer 📂 Library 📅 2001 🏛 John Wiley & Sons 🌐 English

Fuzzy Data Analysis

📁 Fuzzy Data Analysis

✍ Hans Bandemer, Wolfgang Näther (auth.) 📂 Library 📅 1992 🏛 Springer Netherlands 🌐 English

<p>Fuzzy data such as marks, scores, verbal evaluations, imprecise observations, experts' opinions and grey tone pictures, are quite common. In <em>Fuzzy Data Analysis</em> the authors collect their recent results providing the reader with ideas, approaches and methods for processing such data when

Dynamic System Identification. Experimen

📁 Dynamic System Identification. Experiment Design and Data Analysis. Mathematics in Science and Engineering, Volume 136

✍ Goodwin (editor) 📂 Library 📅 1977 🏛 Academic Press 🌐 English

Data Analyst: Careers in data analysis

📁 Data Analyst: Careers in data analysis

✍ Harish Gulati; Charles Joseph; Rune Rasmussen; Clare Stanier; Obi Umegbolu 📂 Library 📅 2019 🏛 BCS, The Chartered Institute for IT 🌐 English

Data is constantly increasing and data analysts are in higher demand than ever. This book is an essential guide to the role of data analyst. Aspiring data analysts will discover what data analysts do all day, what skills they will need for the role, and what regulations they will be required to adhe