Data-Driven Modelling with Fuzzy Sets: Embracing Uncertainty, Broumi, Said ; Nagarajan, D ; Voskoglou, Michael G

Автор: Brunton, Steven L. (university Of Washington) Kutz
Название: Data-driven science and engineering
ISBN: 1009098489 ISBN-13(EAN): 9781009098489
Издательство: Cambridge Academ
Рейтинг:
Цена: 52790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Data-driven discovery is revolutionizing how we model, predict, and control complex systems. This text integrates emerging machine learning and data science methods for engineering and science communities. Now with Python and MATLAB (R), new chapters on reinforcement learning and physics-informed machine learning, and supplementary videos and code.

Автор: Parikshit Narendra Mahalle , Nancy Ambritta P. , S
Название: Foundations of Mathematical Modelling for Engineering Problem Solving
ISBN: 9811988277 ISBN-13(EAN): 9789811988271
Издательство: Springer
Рейтинг:
Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book aims at improving the mathematical modelling skills of users by enhancing the ability to understand, connect, apply and use the mathematical concepts to the problem at hand. This book provides the readers with an in-depth knowledge of the various categories/classes of research problems that professionals, researchers and students might encounter following which the applications of appropriate mathematical models is explained with the help of case studies. The book is targeted at academicians, researchers, students and professionals who belong to all engineering disciplines.

Автор: Destercke
Название: Uncertainty Modelling in Data Science
ISBN: 3319975463 ISBN-13(EAN): 9783319975467
Издательство: Springer
Рейтинг:
Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Indeed, an important aspect of some of the learned predictive models is the trust placed in them. Modelling the uncertainty associated with the data and the models carefully and with principled methods is one of the means of increasing this trust, as the model will then be able to distinguish between reliable and less reliable predictions.

Автор: Huynh
Название: Integrated Uncertainty in Knowledge Modelling and Decision Making
ISBN: 3031467744 ISBN-13(EAN): 9783031467745
Издательство: Springer
Рейтинг:
Цена: 61480.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: These two volumes constitute the proceedings of the 10th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2023, held in Kanazawa, Japan, during November 2-4, 2023. The 58 full papers presented were carefully reviewed and selected from 107 submissions. The papers deal with all aspects of research results, ideas, and experiences of application among researchers and practitioners involved with all aspects of uncertainty modelling and management.

Автор: Honda
Название: Integrated Uncertainty in Knowledge Modelling and Decision Making
ISBN: 3031467809 ISBN-13(EAN): 9783031467806
Издательство: Springer
Рейтинг:
Цена: 61480.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: These two volumes constitute the proceedings of the 10th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2023, held in Kanazawa, Japan, during November 2-4, 2023. The 58 full papers presented were carefully reviewed and selected from 107 submissions. The papers deal with all aspects of research results, ideas, and experiences of application among researchers and practitioners involved with all aspects of uncertainty modelling and management.

Автор: Lotfi, Farhad Hosseinzadeh (professor Of Mathematics, Science And Research Branch, Islamic Azad University, Tehran, Iran) Sanei, Masoud (associate Pro
Название: Uncertainty in data envelopment analysis
ISBN: 032399444X ISBN-13(EAN): 9780323994446
Издательство: Elsevier Science
Рейтинг:
Цена: 129130.00 T
Наличие на складе: Поставка под заказ.

Автор: Plamen Angelov; Sotir Sotirov
Название: Imprecision and Uncertainty in Information Representation and Processing
ISBN: 3319263013 ISBN-13(EAN): 9783319263014
Издательство: Springer
Рейтинг:
Цена: 139310.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book offers a comprehensive and timely overview of advanced mathematical tools for both uncertainty analysis and modeling of parallel processes, with a special emphasis on intuitionistic fuzzy sets and generalized nets.

Автор: Krassimir T. Atanassov; Oscar Castillo; Janusz Kac
Название: Novel Developments in Uncertainty Representation and Processing
ISBN: 3319262106 ISBN-13(EAN): 9783319262109
Издательство: Springer
Рейтинг:
Цена: 177010.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

I. General Issues in the Representation and Processing of Uncertainty and Imprecision.- II. Intuitionistic Fuzzy Sets: Foundations, Tools and Techniques.- III. Intuitionistic Fuzzy Sets: Applications.- IV. Generalized Nets and Neural Networks.- V. Issues in Metaheuristic Search Algorithms and their Applications.- VI. Applications and Implementations.

Автор: Zengchang Qin; Van-Nam Huynh
Название: Integrated Uncertainty in Knowledge Modelling and Decision Making
ISBN: 3642395147 ISBN-13(EAN): 9783642395147
Издательство: Springer
Рейтинг:
Цена: 42860.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the International Symposium on Integrated Uncertainty in Knowledge Modeling and Decision Making, IUKM 2013, held in Beijing China, in July 2013. The papers provide a wealth of new ideas and report both theoretical and applied research on integrated uncertainty modeling and management.

Автор: P?kala
Название: Uncertainty Data in Interval-Valued Fuzzy Set Theory
ISBN: 3319939092 ISBN-13(EAN): 9783319939094
Издательство: Springer
Рейтинг:
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers an introduction to fuzzy sets theory and their operations, with a special focus on aggregation and negation functions. Particular attention is given to interval-valued fuzzy sets and Atanassov`s intuitionistic fuzzy sets and their use in uncertainty models involving imperfect or unknown information.

Автор: Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii Tyshchenko
Название: Self-Learning and Adaptive Algorithms for Business Applications: A Guide to Adaptive Neuro-Fuzzy Systems for Fuzzy Clustering Under Uncertainty Conditions
ISBN: 1838671749 ISBN-13(EAN): 9781838671747
Издательство: Emerald
Рейтинг:
Цена: 62330.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In this guide designed for researchers and students of computer science, readers will find a resource for how to apply methods that work on real-life problems to their challenging applications, and a go-to work that makes fuzzy clustering issues and aspects clear.

Автор: Huynh
Название: Integrated Uncertainty in Knowledge Modelling and Decision Making
ISBN: 3319754289 ISBN-13(EAN): 9783319754284
Издательство: Springer
Рейтинг:
Цена: 46570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 6th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2018, held in Hanoi, Vietnam, in March 2018.The 39 revised full papers presented in this book were carefully reviewed and selected from 76 initial submissions.