Автор: Asli Celikyilmaz; I. Burhan T?rksen Название: Modeling Uncertainty with Fuzzy Logic ISBN: 3642100635 ISBN-13(EAN): 9783642100635 Издательство: Springer Рейтинг: Цена: 27251.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents an uncertainty modeling approach using a new type of fuzzy system model via "Fuzzy Functions". It also reviews standard tools of fuzzy system modeling approaches to demonstrate the novelty of the structurally different fuzzy function.
Автор: Schockaert Название: Scalable Uncertainty Management ISBN: 3319458558 ISBN-13(EAN): 9783319458557 Издательство: Springer Рейтинг: Цена: 8106.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Combinatorial Games: From Theoretical Solving to AI Algorithms.- A Gentle Introduction to Reinforcement Learning.- Possibilistic Graphical Models for Uncertainty Modeling.- On the Explanation of SameAs Statements using Argumentation.- Reasoning with Multiple-Agent Possibilistic Logic.- Incremental Preference Elicitation in Multi-Attribute Domains for Choice and Ranking with the Borda Count.- Graphical Models for Preference Representation: An Overview.- Diffusion of Opinion and Influence.- Fuzzy Labeling for Abstract Argumentation: An Empirical Evaluation.- A Belief-Based Approach to Measuring Message Acceptability.- Intertranslatability of Labeling-based Argumentation Semantics.- Preference Inference Based on Pareto Models.- Persuasion Dialogues via Restricted Interfaces using Probabilistic Argumentation.- Metric Logic Program Explanations for Complex Separator Functions.- A Two-Stage Online Approach for Collaborative Multi-Agent Planning under Uncertainty.- 9-ASP for Computing Repairs with Existential Ontologies.- Probabilistic Reasoning in the Description Logic ALCP with the Principle of Maximum Entropy.- Fuzzy Quantified Structural Queries to Fuzzy Graph Databases.- Reasoning with Data - A New Challenge For AI.- Probabilistic Spatial Reasoning in Constraint Logic Programming.- ChoiceGAPs: Competitive Diffusion as a Massive Multi-Player Game in Social Networks.- Challenges for Efficient Query Evaluation on Structured Probabilistic Data.- Forgetting-Based Inconsistency Measure.- A Possibilistic Multivariate Fuzzy c-Means Clustering Algorithm.- A Measure of Referential Success Based on Alpha-Cuts.- Graded Justification of Arguments via Internal and External Endogenous Features.
Автор: Tatiana V. Guy; Miroslav K?rn?; David H. Wolpert Название: Decision Making: Uncertainty, Imperfection, Deliberation and Scalability ISBN: 3319151436 ISBN-13(EAN): 9783319151434 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Bayesian Methods for Intelligent Task Assignment in Crowdsourcing Systems.- Designing Societies of Robots.- On the Origins of Imperfection and Apparent Non-Rationality.- Lasso Granger Causal Models: Some Strategies and their Efficiency for Gene Expression Regulatory Networks.- Cooperative Feature Selection in Personalized Medicine.- Imperfect Decision Making and Risk Taking are affected by Personality.
Автор: Liesbet Geris; David Gomez-Cabrero Название: Uncertainty in Biology ISBN: 3319212958 ISBN-13(EAN): 9783319212951 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Computational modeling allows to reduce, refine and replace animal experimentation as well as to translate findings obtained in these experiments to the human background. However these biomedical problems are inherently complex with a myriad of influencing factors, which strongly complicates the model building and validation process. This book wants to address four main issues related to the building and validation of computational models of biomedical processes: 1. Modeling establishment under uncertainty 2. Model selection and parameter fitting 3. Sensitivity analysis and model adaptation 4. Model predictions under uncertainty In each of the abovementioned areas, the book discusses a number of key-techniques by means of a general theoretical description followed by one or more practical examples. This book is intended for graduate students and researchers active in the field of computational modeling of biomedical processes who seek to acquaint themselves with the different ways in which to study the parameter space of their model as well as its overall behavior.
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: Seraf?n Moral; Olivier Pivert; Daniel S?nchez; Nic Название: Scalable Uncertainty Management ISBN: 3319675818 ISBN-13(EAN): 9783319675817 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 11th International Conference on Scalable Uncertainty Management, SUM 2017, which was held in Granada, Spain, in October 2017.
Описание: Human Decisions Are Often Suboptimal: Phenomenon of Bounded Rationality.- Towards Explaining Other Aspects of Human Decision Making.- Towards Explaining Heuristic Techniques (Such as Fuzzy) in Expert Decision Making.- Decision Making Under Uncertainty and Restrictions on Computation Resources: From Heuristic to Optimal Techniques.- Conclusions and Future Work.
Автор: Qin, Zengchang Tang, Yongchuan Название: Uncertainty modeling for data mining ISBN: 3642412505 ISBN-13(EAN): 9783642412509 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Outlining a new research direction in fuzzy set theory applied to data mining, this volume proposes a number of new data mining algorithms and includes dozens of figures and illustrations that help the reader grasp the complexities of the concepts.
Автор: Richard Szeliski Название: Bayesian Modeling of Uncertainty in Low-Level Vision ISBN: 1461289041 ISBN-13(EAN): 9781461289043 Издательство: Springer Рейтинг: Цена: 20956.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: First, he presents a systematic Bayesian probabilistic estimation framework in which we can define and compute the prior model, the sensor model, and the posterior model.
Автор: Tshilidzi Marwala; Monica Lagazio Название: Militarized Conflict Modeling Using Computational Intelligence ISBN: 1447127013 ISBN-13(EAN): 9781447127017 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume offers a scientific approach to manage inter-country conflict. Readers will find that through simultaneous control of four specific aspects (democracy, dependency, allies and capacity), predicted dispute outcomes can be avoided.
Автор: Baoding Liu Название: Uncertainty Theory ISBN: 3662443538 ISBN-13(EAN): 9783662443538 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Uncertainty Theory
Автор: Jaime Gil-Aluja; Antonio Terce?o-G?mez; Joan Carle Название: Scientific Methods for the Treatment of Uncertainty in Social Sciences ISBN: 3319197037 ISBN-13(EAN): 9783319197036 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is a collection of selected papers presented at the SIGEF conference, held at the Faculty of Economics and Business of the University of Girona (Spain), 06-08 July, 2015.This edition of the conference has been presented with the slogan "Scientific methods for the treatment of uncertainty in social sciences".
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