Performance Measurement with Fuzzy Data Envelopment Analysis (Studies in Fuzziness and Soft Computing, #309)
The intensity of global competition and ever-increasing economic uncertainties has led organizations to search for more efficient and effective ways to manage their business operations. Data envelopment analysis (DEA) has been widely used as a conceptually simple yet powerful tool for evaluating organizational productivity and performance. Fuzzy DEA (FDEA) is a promising extension of the conventional DEA proposed for dealing with imprecise and ambiguous data in performance measurement problems....
Reactive Kripke Semantics (Cognitive Technologies)
by Dov M. Gabbay
This text offers an extension to the traditional Kripke semantics for non-classical logics by adding the notion of reactivity. Reactive Kripke models change their accessibility relation as we progress in the evaluation process of formulas in the model. This feature makes the reactive Kripke semantics strictly stronger and more applicable than the traditional one. Here we investigate the properties and axiomatisations of this new and most effective semantics, and we offer a wide landscape of appl...
"Nina Schick is alerting us to a danger from the future that is already here." - Adam Boulton, Editor at Large, Sky News"Deep Fakes and the Infocalypse is an urgent, thoughtful and thoroughly-researched book that raises uncomfortable questions about the way that information is being distorted by states and individuals... A must-read." - Greg Williams, Editor in Chief of WIRED UK"Essential reading for any one interested about the shocking way information is and will be manipulated." - Lord Edward...
Data Analytics in Bioinformatics - A Machine Learning Perspective
by Rabi Narayan Satapathy, Tanupriya Choudury, Suneeta Satapathy, Sachi Nandan Mohanty, and Xiaobo Zhang
Machine learning techniques are increasingly being used to address problems in computational biology and bioinformatics. Novel machine learning computational techniques to analyze high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases and future drug discovery. Machine learning techniques such as Markov models, support vector machines, neural networks, and graphical models have been successful in analyzing l...
Artificial Intelligence (Ai)
by U S Military, Department of Defense (Dod), and Eric Ehn
Artificial Intelligence for Customer Relationship Management (Human-Computer Interaction)
by Boris A. Galitsky
The second volume of this research monograph describes a number of applications of Artificial Intelligence in the field of Customer Relationship Management with the focus of solving customer problems. We design a system that tries to understand the customer complaint, his mood, and what can be done to resolve an issue with the product or service. To solve a customer problem efficiently, we maintain a dialogue with the customer so that the problem can be clarified and multiple ways to fix it...
Computational Intelligence Paradigms for Optimization Problems Using MATLAB (R)/SIMULINK (R)
by S. Sumathi, L. Ashok Kumar, and Surekha. P
Considered one of the most innovative research directions, computational intelligence (CI) embraces techniques that use global search optimization, machine learning, approximate reasoning, and connectionist systems to develop efficient, robust, and easy-to-use solutions amidst multiple decision variables, complex constraints, and tumultuous environments. CI techniques involve a combination of learning, adaptation, and evolution used for intelligent applications. Computational Intelligence Para...
This book is a study of the phenomena of shadows, meant in a broader sense as "symbolic forms". The shadow is a less real, "surface" replica of some more real form. From the Platonic point of view, empirical objects are "shadows of ideas", while from the modern "natural" point of view, shadows are seen and conceived primarily as "weaker" replicas of bodies, which give evidence of their material reality. In the first three essays here, several topics from the Ancient Egypt and Greece to modern ar...
Current Issues in Expert Systems (International lecture series in computer Science)
In 1969, John McCarthy and Pat Hayes uncovered a problem that has haunted the field of artificial intelligence ever since-the frame problem. The problem arises when logic is used to describe the effects of actions and events. Put simply, it is the problem of representing what remains unchanged as a result of an action or event. Many researchers in artificial intelligence believe that its solution is vital to the realization of the field's goals. Solving the Frame Problem presents the various app...
Semantic Web and Peer-To-Peer; Decentralized Management and Exchange of Knowledge and Information
Creating and Using English Language Corpora (Language and Computers, #13)
Degrees of Belief (Synthese Library, #342) (Synthese Library (Paperback), #342)
This book has grown out of a conference on "Degrees of Belief" that was held at the University of Konstanz in July 2004, organised by Luc Bovens, Wolfgang Spohn, and the editors. The event was supported by the German Research Fo- dation (DFG), the Philosophy, Probability, and Modeling (PPM) Group, and the CenterforJuniorResearchFellows(since2008:Zukunftskolleg)attheUniversityof Konstanz. The PPM Group itself - of which the editors were members at the time - was sponsored by a So a Kovalevskaja A...
How to Build an Enhanced Computer and Take Over the World - Expanded Edition
by Charles Albert Moster
24th Aipr Workshop On Tools & Techniques For Mod
Mathematics - Key Technology for the Future
In 1993, the Federal Ministry of Research and Education of the Federal - public of Germany (BMBF) started the ?rst of now ?ve periods of funding mathematics for industry and services. To date, its e?orts have supported approximately 280 projects investigating complex problems in industry and services.Whereasstandardproblemscanbe solvedusing standardmathem- ical methods and software o? the shelf, complex problems arising from e.g. industrial research and developments require advanced and innovati...
Man-Machine Interactions (Advances in Intelligent and Soft Computing, #59)
The International Conference on Man-Machine Interactions (ICMMI 2009) commemorates the life and work of Adam Mrozek (1948-1999). From 1970, he worked at the Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, and from 1992 at the Institute of Informatics, Silesian University of Technology, Gliwice, Poland, in 1998 taking the post of a Vice Director of the Institute for Researchand the head of the Computer Systems Theory and Design Division. During his lifetime the scien...
Automated Configuration Problem Solving (SpringerBriefs in Computer Science)
by Charles J. Petrie
Automated Configuration has long been the subject of intensive research, especially in Artificial Intelligence. It is a pervasive problem to be solved, and it is a good test of various knowledge representation and reasoning techniques. The problem shows up in applications such as various electrical circuit design, utility computing and even concurrent engineering. Automated Configuration Problem Solving defines the ubiquitous problem, illustrates the various solution techniques, and includes a...
TV-Anytime (X.media.publishing)
by Alberto Gil Solla and Rafael G. Sotelo Bovino
Television is a mature mass media with close to eight decades of regular broadcasts since its beginnings in Germany, the UK and the USA. Today, despite the spectacular growth of the Internet and social networks, television is still the leading medium for entertainment and information across the world, exerting an unparalleled influence on public opinion. Until recently television had undergone a rather slow evolution regarding the interaction with its users, yet this is beginning to change. The...
This volume of Advances in Intelligent and Soft Computing contains accepted papers presented at SOCO 2012, held in the beautiful and historic city of Ostrava (Czech Republic), in September 2012. Soft computing represents a collection or set of computational techniques in machine learning, computer science and some engineering disciplines, which investigate, simulate, and analyze very complex issues and phenomena. After a through peer-review process, the SOCO 2012 International Program Co...
A study of multispectral image processing and pattern recognition. It covers: geometric and orthogonal moments; minimum description length method for facet matching; an integrated vision system for ALV navigation; fuzzy Bayesian networks; and more.