Download or read book Apport de l intelligence artificielle l aide la d cision multicrit re written by Yves Rommel and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cette thèse a pour objet de montrer quel peut être l'apport de l'intelligence artificielle (IA) à l'aide à la décision multicritère. Les techniques d'IA utilisées concernent globalement les modes de représentation des connaissances de type déclaratif, les techniques déductives de résolution des problèmes ainsi que les techniques "inductives" d'apprentissage symbolique des connaissances. Les recherches ont été menées selon deux directions opposées quant à la démarche de modélisation suivie: - la première direction a consisté à définir quel pouvait être l'apport de l'IA dans le cadre de l'analyse multicritère "classique" : à savoir, en se plaçant en aval d'un tableau de performances et selon les approches opérationnelles pour l'agrégation des préférences couramment admises (approche du critère de synthèse, approche du surclassement et approche interactive), comment substituer les algorithmes traditionnels par des techniques relevant de l'IA. Trois méthodes sont ainsi proposées selon les trois approches opérationnelles et permettent, en considérant parallèlement les difficultés rencontrées, de généraliser les résultats de l'apport de telle technique d'IA pour telle approche opérationnelle. - la seconde direction a consisté à considérer l'analyse multicritère dans le cadre de l'architecture et de la modélisation des systèmes- experts. Le pourquoi de cette recherche tient en ce que les systèmes- experts traitent par essence de problèmes de type multicritère. Ont ainsi été redécouvertes les démarches d'agrégation et de désagrégation des préférences, et ont été montrées les perspectives en matière de méthodes interactives.

Download or read book Apports de la th orie de l utilit et de la logique floue dans la mod lisation de la prise de d cisions appliqu s au domaine du traitement des images written by Mirna Baudry and published by . This book was released on 2003 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pendant des années les individus ont essayé de résoudre le problème de la prise de décision dans l'incertain dans un environnement complexe. Les choix peuvent être multiples dans des situations très diverses. En particulier le domaine de la décision multicritère est vaste et les méthodes dites d'aide à la décision multicritère se sont largement développées.Méthodologiquement, les méthodes d'optimisation reposent essentiellement sur la programmation mathématique tandis que l'analyse de décision aide l'individu à faire un choix parmi un ensemble d'alternatives représentées dans un arbre de décision et utilisant une fonction d'utilité, basée sur les préférences individuelles. Dans notre travail la théorie de l'utilité a été mise en oeuvre, en particulier le concept de l'utilité est appliqué au domaine de l'imagerie, le pixel a été modélisé comme décideur ainsi que son mode de raisonnement, dans l'application de l'extraction du contour et de suppression du bruit dans une image en niveaux de gris. Nous ne cherchons pas à créer une nouvelle méthode mais à démontrer que l'on peut utiliser cette théorie dans divers domaines. L'intelligence artificielle consiste en effet à reproduire les comportements naturels au sein d'un système informatisé afin d'améliorer ses performances.

Download or read book Syst me d aide la d cision pour la conduite de processus perturb s une approche hybride fond e sur l intelligence artificielle la programmation lin aire et l aide multicrit re la d cision written by Xavier Gandibleux and published by . This book was released on 1995 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: Notre travail concerne les systèmes d'aide à la décision pour la conduite de processus industriels continus perturbés dans leur fonctionnement. A cette fin, l'activité décisionnelle développée par l'operateur de conduite durant la reprise du défaut y est étudiée. Des problèmes comportant un caractère imprévisible, combinatoire et multicritère sont soulevés. Ainsi dans ce travail, nous envisageons des moyens d'assistance à l'operateur conçus autour d'une structuration cohérente de son activité décisionnelle, relativement aux enjeux des différentes phases du processus de reprise de défaut. Ces travaux sont menés à la lumière d'un problème rencontre au niveau de la conduite de la production nationale d'électricité. Pour résoudre les problèmes rencontrés, notre approche prend appui sur l'exploitation d'un savoir-faire humain et de modèles numériques. Nous proposons quatre modèles originaux basés conjointement sur les concepts de l'intelligence artificielle (systématisation du savoir-faire de l'operateur humain en un système à base de connaissances) et de la recherche opérationnelle (modèles d'aide basés sur une méthode de descente, sur un programme linéaire en nombres entiers et sur une procédure multicritère interactive de points références faisant usage d'éléments graphiques visuels). En accord avec le principe de la coopération homme-machine verticale active, l'approche conjugue automatisations avec recommandations, interactions et dialogues homme-machine. Elle a conduit à la réalisation d'un Système Interactif d'Aide à la Conduite intégré à CASTART, une plateforme d'expérimentation simulant l'environnement de conduite de la production nationale française d'électricité, lors d'une situation de mobilisation de réserve tertiaire

Download or read book Applications of Artificial Intelligence for Decision Making written by Patrick J Talbot and published by CreateSpace. This book was released on 2015-04-10 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: Book Description: We have the data! Too much data! Decision-making requires that data be filtered and refined to provide information. Adding context to the content produces actionable knowledge. Unfortunately, current techniques strip away the uncertainty associated with the raw data. This book provides a decision-centered approach for coping with uncertainty that combines what people do best with what computers do best. Algorithms "plug into"the knowledge base from a single import/export interface, facilitating multi-strategy reasoning. Triage filters the data, extraction of hedge words capture uncertainty, an executable knowledge base provides content in context, data fusion propagates uncertainty, data analytics discover patterns, and plan optimization tools move the decision-maker from "what's going on" to "what to do." Displays present actionable knowledge with associated uncertainties explicitly shown. Fifteen applications are shown ranging from longevity prediction, to a retail problem solver, to intelligence community applications, to starship cybernetics. We wrote the book to provide the practitioner with compelling ideas for orchestrating artificial intelligence, statistical, and mathematical algorithms to produce fully integrated decision support systems. Novel techniques of particular interest are: a knowledge representation that provides a unifying framework for multi-strategy reasoning and simulation, a robust treatment of uncertainty, monitor-assess-plan-execute decision loops for routine and quick-reaction decisions, eight techniques for automated discovery of unknown unknowns, level 4 (process refinement) data fusion, and a self-aware knowledge base that "knows what it knows."

Download or read book Intelligent Decision Making An AI Based Approach written by Gloria Phillips-Wren and published by Springer Science & Business Media. This book was released on 2008-03-04 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Decision Support Systems have the potential to transform human decision making by combining research in artificial intelligence, information technology, and systems engineering. The field of intelligent decision making is expanding rapidly due, in part, to advances in artificial intelligence and network-centric environments that can deliver the technology. Communication and coordination between dispersed systems can deliver just-in-time information, real-time processing, collaborative environments, and globally up-to-date information to a human decision maker. At the same time, artificial intelligence techniques have demonstrated that they have matured sufficiently to provide computational assistance to humans in practical applications. This book includes contributions from leading researchers in the field beginning with the foundations of human decision making and the complexity of the human cognitive system. Researchers contrast human and artificial intelligence, survey computational intelligence, present pragmatic systems, and discuss future trends. This book will be an invaluable resource to anyone interested in the current state of knowledge and key research gaps in the rapidly developing field of intelligent decision support.

Download or read book Aiding Decisions with Multiple Criteria written by Denis Bouyssou and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 551 pages. Available in PDF, EPUB and Kindle. Book excerpt: Aiding Decisions With Multiple Criteria: Essays in Honor of Bernard Roy is organized around two broad themes: Graph Theory with path-breaking contributions on the theory of flows in networks and project scheduling, Multiple Criteria Decision Aiding with the invention of the family of ELECTRE methods and methodological contribution to decision-aiding which lead to the creation of Multi-Criteria Decision Analysis (MCDA). Professor Bernard Roy has had considerable influence on the development of these two broad areas. £/LIST£ Part one contains papers by Jacques Lesourne, and Dominique de Werra & Pierre Hansen related to the early career of Bernard Roy when he developed many new techniques and concepts in Graph Theory in order to cope with complex real-world problems. Part two of the book is devoted to Philosophy and Epistemology of Decision-Aiding with contributions from Valerie Belton & Jacques Pictet and Jean-Luis Genard & Marc Pirlot. Part three includes contributions based on Theory and Methodology of Multi-Criteria Decision-Aiding based on a general framework for conjoint measurement that allows intrasitive preferences. Denis Bouyssou & Marc Pirlot; Alexis Tsoukiàs, Patrice Perny & Philippe Vincke; Luis Dias & João Clímaco; Daniel Vanderpooten; Michael Doumpos & Constantin Zopounidis; and Marc Roubens offer a considerable range of examinations of this aspect of MCDA. Part four is devoted to Perference Modeling with contributions from Peter Fishburn; Salvatore Greco, Benedetto Matarazzo & Roman Slowinski; Salem Benferhat, Didier Dubois & Henri Prade; Oscar Franzese & Mark McCord; Bertrand Munier; and Raymond Bisdorff. Part five groups Applications of Multi-Criteria Decision-Aiding, and Carlos Henggeler Antunes, Carla Oliveira & João Clímaco; Carlos Bana e Costa, Manuel da Costa-Lobo, Isabel Ramos & Jean-Claude Vansnick; Yannis Siskos & Evangelos Grigoroudis; Jean-Pierre Brans, Pierre Kunsch & Bertrand Mareschal offer a wide variety of application problems. Finally, Part six includes contributions on Multi-Objective Mathematical Programming from Jacques Teghem, Walter Habenicht and Pekka Korhonen.

Download or read book Cognitive Radio Software Defined Radio and Adaptive Wireless Systems written by Hüseyin Arslan and published by Springer Science & Business Media. This book was released on 2007-09-05 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today’s wireless services have come a long way since the roll out of the conventional voice-centric cellular systems. The demand for wireless access in voice and high rate data multi-media applications has been increasing. New generation wireless communication systems are aimed at accommodating this demand through better resource management and improved transmission technologies. The interest in increasing Spectrum Access and improving Spectrum Efficiency combined with both the introduction of Software Defined Radios and the realization that machine learning can be applied to radios has created new intriguing possibilities for wireless radio researchers. This book is aimed to discuss the cognitive radio, software defined radio (SDR), and adaptive radio concepts from several aspects. Cognitive radio and cognitive networks will be investigated from a broad aspect of wireless communication system enhancement while giving special emphasis on better spectrum utilization. Applications of cognitive radio, SDR and cognitive radio architectures, spectrum efficiency and soft spectrum usage, adaptive wireless system design, measurements and awareness of various parameters including interference temperature and geo-location information are some of the important topics that will be covered in this book. Cognitive Radio, Software Defined Radio, and Adaptive Wireless Systems is intended to be both an introductory technology survey/tutorial for beginners and an advanced mathematical overview intended for technical professionals in the communications industry, technical managers, and researchers in both academia and industry.

Download or read book WITS 2020 written by Saad Bennani and published by Springer Nature. This book was released on 2021-07-21 with total page 1139 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents peer-reviewed articles from the 6th International Conference on Wireless Technologies, Embedded and Intelligent Systems (WITS 2020), held at Fez, Morocco. It presents original research results, new ideas and practical lessons learnt that touch on all aspects of wireless technologies, embedded and intelligent systems. WITS is an international conference that serves researchers, scholars, professionals, students and academicians looking to foster both working relationships and gain access to the latest research results. Topics covered include Telecoms & Wireless Networking Electronics & Multimedia Embedded & Intelligent Systems Renewable Energies.

Download or read book Modelling Environmental Dynamics written by Martin Paegelow and published by Springer Science & Business Media. This book was released on 2008-07-16 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modelling environmental dynamics is critical to understanding and predicting the evolution of the environment in response to the large number of influences including urbanisation, climate change and deforestation. Simulation and modelling provide support for decision making in environmental management. The first chapter introduces terminology and provides an overview of methodological modelling approaches which may be applied to environmental and complex dynamics. Based on this introduction this book illustrates various models applied to a large variety of themes: deforestation in tropical regions, fire risk, natural reforestation in European mountains, agriculture, biodiversity, urbanism, climate change and land management for decision support, etc. These case studies, provided by a large international spectrum of researchers and presented in a uniform structure, focus particularly on methods and model validation so that this book is not only aimed at researchers and graduates but also at professionals.

Download or read book CIKM 13 written by CIKM 13 Conference Committee and published by . This book was released on 2013-10-27 with total page 938 pages. Available in PDF, EPUB and Kindle. Book excerpt: CIKM'13: 22nd ACM International Conference on Information and Knowledge Management Oct 27, 2013-Nov 01, 2013 San Francisco, USA. You can view more information about this proceeding and all of ACM�s other published conference proceedings from the ACM Digital Library: http://www.acm.org/dl.

Download or read book Adaptive Stream Mining written by Albert Bifet and published by IOS Press. This book was released on 2010 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a significant contribution to the subject of mining time-changing data streams and addresses the design of learning algorithms for this purpose. It introduces new contributions on several different aspects of the problem, identifying research opportunities and increasing the scope for applications. It also includes an in-depth study of stream mining and a theoretical analysis of proposed methods and algorithms. The first section is concerned with the use of an adaptive sliding window algorithm (ADWIN). Since this has rigorous performance guarantees, using it in place of counters or accumulators, it offers the possibility of extending such guarantees to learning and mining algorithms not initially designed for drifting data. Testing with several methods, including Naïve Bayes, clustering, decision trees and ensemble methods, is discussed as well. The second part of the book describes a formal study of connected acyclic graphs, or 'trees', from the point of view of closure-based mining, presenting efficient algorithms for subtree testing and for mining ordered and unordered frequent closed trees. Lastly, a general methodology to identify closed patterns in a data stream is outlined. This is applied to develop an incremental method, a sliding-window based method, and a method that mines closed trees adaptively from data streams. These are used to introduce classification methods for tree data streams.

Download or read book Preference Learning written by Johannes Fürnkranz and published by Springer Science & Business Media. This book was released on 2010-11-19 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: The topic of preferences is a new branch of machine learning and data mining, and it has attracted considerable attention in artificial intelligence research in previous years. It involves learning from observations that reveal information about the preferences of an individual or a class of individuals. Representing and processing knowledge in terms of preferences is appealing as it allows one to specify desires in a declarative way, to combine qualitative and quantitative modes of reasoning, and to deal with inconsistencies and exceptions in a flexible manner. And, generalizing beyond training data, models thus learned may be used for preference prediction. This is the first book dedicated to this topic, and the treatment is comprehensive. The editors first offer a thorough introduction, including a systematic categorization according to learning task and learning technique, along with a unified notation. The first half of the book is organized into parts on label ranking, instance ranking, and object ranking; while the second half is organized into parts on applications of preference learning in multiattribute domains, information retrieval, and recommender systems. The book will be of interest to researchers and practitioners in artificial intelligence, in particular machine learning and data mining, and in fields such as multicriteria decision-making and operations research.

Download or read book Managing Complexity written by G. Rzevski and published by WIT Press. This book was released on 2014-03-25 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: Managing Complexity is the first book that clearly defines the concept of Complexity, explains how Complexity can be measured and tuned, and describes the seven key features of Complex Systems: ConnectivityAutonomyEmergencyNonequilibriumNon-linearitySelf-organisationCo-evolution The thesis of the book is that complexity of the environment in which we work and live offers new opportunities and that the best strategy for surviving and prospering under conditions of complexity is to develop adaptability to perpetually changing conditions. An effective method for designing adaptability into business processes using multi-agent technology is presented and illustrated by several extensive examples, including adaptive, real-time scheduling of taxis, see-going tankers, road transport, supply chains, railway trains, production processes and swarms of small space satellites. Additional case studies include adaptive servicing of the International Space Station; adaptive processing of design changes of large structures such as wings of the largest airliner in the world; dynamic data mining, knowledge discovery and distributed semantic processing. Finally, the book provides a foretaste of the next generation of complex issues, notably, The Internet of Things, Smart Cities, Digital Enterprises and Smart Logistics.

Download or read book Statistical Inference for Ergodic Diffusion Processes written by Yury A. Kutoyants and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first book in inference for stochastic processes from a statistical, rather than a probabilistic, perspective. It provides a systematic exposition of theoretical results from over ten years of mathematical literature and presents, for the first time in book form, many new techniques and approaches.

Download or read book Semiparametric Theory and Missing Data written by Anastasios Tsiatis and published by Springer Science & Business Media. This book was released on 2007-01-15 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book summarizes current knowledge regarding the theory of estimation for semiparametric models with missing data, in an organized and comprehensive manner. It starts with the study of semiparametric methods when there are no missing data. The description of the theory of estimation for semiparametric models is both rigorous and intuitive, relying on geometric ideas to reinforce the intuition and understanding of the theory. These methods are then applied to problems with missing, censored, and coarsened data with the goal of deriving estimators that are as robust and efficient as possible.

Download or read book 9 78E 12 written by Alain Klarsfeld and published by Edward Elgar Publishing. This book was released on 2014-05-30 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of this important reference work provides important updates and new perspectives on the cases constituting the first edition as well as including contributions from a number of new countries: Australia, Finland, Japan, New Zealand, N

Download or read book Arctic Shipping written by Frédéric Lasserre and published by Routledge. This book was released on 2019-09-05 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book considers both the present state of Arctic shipping and possible future trends with reference to the various sectors of maritime transportation: cruise tourism, container traffic and bulk shipping. Ports are analysed as tools that support the strategies of coastal states to foster the development of resource extraction, enhance the attractiveness of Arctic shipping lanes and enable the control of maritime activities through coast guard deployment. The aim of this book is to draw a picture of the trends of Arctic shipping. How is traffic evolving in Canada’s Arctic, or along the Northern Sea Route? Are there significant differences between bulk and container shipping segments when considering the Arctic market? How are the ports and the hinterland developing and what are the strategies behind those? How is the legal framework shaping the evolution of maritime transportation? The contributors to this book consider all of these questions, and more, as they map out the prospects for Arctic shipping and analyse in detail the development of Arctic shipping as a result of multi-variable interactions. This book will be key reading for industry professionals and post-graduate students alike.