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Business organizations and governments are nowadays developing and providing internet based electronic services (e-services) featuring various intelligent functions. E-Service Intelligence integrates intelligent techniques into e-service systems for realizing intelligent internet information searching, presentation, provision, recommendation, online system design, implementation, and assessment to internet users. This book offers a thorough introduction and systematic overview of the new field and covers the state-of-the-art of the research and development in E-Service Intelligence ranging from e-services and/or intelligent techniques to web information presentation, search, and mining, to personalization, privacy, and trust in e-services, to e-service evaluation, optimization and knowledge discovery, and to intelligent e-service system developments.

Computational intelligence --- Web services --- Expert systems (Computer science) --- Intelligent agents (Computer software) --- Intelligence informatique --- Services Web --- Systèmes experts (Informatique) --- Agents intelligents (logiciels) --- Computational intelligence. --- Electronic books. -- local. --- Expert systems (Computer science). --- Intelligent agents (Computer software). --- Web services. --- Civil Engineering --- Computer Science --- Applied Mathematics --- Engineering & Applied Sciences --- Civil & Environmental Engineering --- Agents, Autonomous (Computer software) --- Agents, Cognitive (Computer software) --- Agents, Intelligent (Computer software) --- Assistants, Cognitive (Computer software) --- Assistants, Intelligent software --- Autonomous agents (Computer software) --- Cognitive agents (Computer software) --- Cognitive assistants (Computer software) --- IAs (Computer software) --- Intelligent agent software --- Intelligent software agents --- Intelligent software assistants --- Software agents (Computer software) --- Special agents (Computer software) --- Knowledge-based systems (Computer science) --- Systems, Expert (Computer science) --- Intelligence, Computational --- Engineering. --- Information technology. --- Business --- Artificial intelligence. --- E-commerce. --- Applied mathematics. --- Engineering mathematics. --- Appl.Mathematics/Computational Methods of Engineering. --- Information Systems Applications (incl. Internet). --- Artificial Intelligence (incl. Robotics). --- e-Commerce/e-business. --- IT in Business. --- Data processing. --- Engineering --- Engineering analysis --- Mathematical analysis --- Cybercommerce --- E-business --- E-commerce --- E-tailing --- eBusiness --- eCommerce --- Electronic business --- Internet commerce --- Internet retailing --- Online commerce --- Web retailing --- Commerce --- Information superhighway --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- IT (Information technology) --- Technology --- Telematics --- Knowledge management --- Construction --- Industrial arts --- Mathematics --- Artificial intelligence --- Computer systems --- Soft computing --- Application software --- Cloud computing --- Computer programs --- Mathematical and Computational Engineering. --- Artificial Intelligence. --- Application software. --- Business—Data processing. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software

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Cognition-driven decision support system (DSS) has been recognized as a paradigm in the research and development of business intelligence (BI). Cognitive decision support aims to help managers in their decision making from human cognitive aspects, such as thinking, sensing, understanding and predicting, and fully reuse their experience. Among these cognitive aspects, decision makers’ situation awareness (SA) and mental models are considered to be two important prerequisites for decision making, particularly in ill-structured and dynamic decision situations with uncertainties, time pressure and high personal stake. In today’s business domain, decision making is becoming increasingly complex. To make a successful decision, managers’ SA about their business environments becomes a critical factor. This book presents theoretical models as well practical techniques of cognitiondriven DSS. It first introduces some important concepts of cognition orientation in decision making process and some techniques in related research areas including DSS, data warehouse and BI, offering readers a preliminary for moving forward in this book. It then proposes a cognition-driven decision process (CDDP) model which incorporates SA and experience (mental models) as its central components. The goal of the CDDP model is to facilitate cognitive decision support to managers on the basis of BI systems. It also presents relevant techniques developed to support the implementation of the CDDP model in a BI environment. Key issues addressed of a typical business decision cycle in the CDDP model include: natural language interface for a manager’s SA input; extraction of SA semantics; construction of data warehouse queries based on the manger’s SA and experience; situation information retrieval from data warehouse; how the manager perceives situation information and update SA; how the manager’s SA leads to a final decision. Finally, a cognition-driven DSS, FACETS, and two illustrative applications of this system are discussed.

Civil Engineering --- Applied Mathematics --- Engineering & Applied Sciences --- Civil & Environmental Engineering --- Business intelligence --- Decision support systems --- Intelligent agents (Computer software) --- Decision making. --- Mathematical models. --- Agents, Autonomous (Computer software) --- Agents, Cognitive (Computer software) --- Agents, Intelligent (Computer software) --- Assistants, Cognitive (Computer software) --- Assistants, Intelligent software --- Autonomous agents (Computer software) --- Cognitive agents (Computer software) --- Cognitive assistants (Computer software) --- IAs (Computer software) --- Intelligent agent software --- Intelligent software agents --- Intelligent software assistants --- Software agents (Computer software) --- Special agents (Computer software) --- Business espionage --- Competitive intelligence --- Corporate intelligence --- Economic espionage --- Espionage, Business --- Espionage, Economic --- Espionage, Industrial --- Industrial espionage --- Intelligence, Business --- Intelligence, Corporate --- Engineering. --- Operations research. --- Information technology. --- Business --- Business mathematics. --- Artificial intelligence. --- Applied mathematics. --- Engineering mathematics. --- Appl.Mathematics/Computational Methods of Engineering. --- Business Mathematics. --- Operation Research/Decision Theory. --- Artificial Intelligence (incl. Robotics). --- IT in Business. --- Data processing. --- Engineering --- Engineering analysis --- Mathematical analysis --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Arithmetic, Commercial --- Business arithmetic --- Business math --- Commercial arithmetic --- Finance --- Mathematics --- IT (Information technology) --- Technology --- Telematics --- Information superhighway --- Knowledge management --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Choice (Psychology) --- Problem solving --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Construction --- Industrial arts --- Decision making --- Artificial intelligence --- Management information systems --- Business ethics --- Competition, Unfair --- Industrial management --- Confidential business information --- Computer programs --- Mathematical and Computational Engineering. --- Operations Research/Decision Theory. --- Artificial Intelligence. --- Business—Data processing.

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Operational research. Game theory --- Engineering sciences. Technology --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- analyse (wiskunde) --- bedrijfseconomie --- speltheorie --- KI (kunstmatige intelligentie) --- operationeel onderzoek --- informatica management --- ingenieurswetenschappen --- robots --- AI (artificiële intelligentie)

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This monograph presents new developments in multi-level decision-making theory, technique and method in both modeling and solution issues. It especially presents how a decision support system can support managers in reaching a solution to a multi-level decision problem in practice. This monograph combines decision theories, methods, algorithms and applications effectively. It discusses in detail the models and solution algorithms of each issue of bi-level and tri-level decision-making, such as multi-leaders, multi-followers, multi-objectives, rule-set-based, and fuzzy parameters. Potential readers include organizational managers and practicing professionals, who can use the methods and software provided to solve their real decision problems; PhD students and researchers in the areas of bi-level and multi-level decision-making and decision support systems; students at an advanced undergraduate, master’s level in information systems, business administration, or the application of computer science. .

Market research --- Artificial intelligence. Robotics. Simulation. Graphics --- neuronale netwerken --- fuzzy logic --- cybernetica --- marktonderzoek --- KI (kunstmatige intelligentie) --- AI (artificiële intelligentie)

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Business organizations and governments are nowadays developing and providing internet based electronic services (e-services) featuring various intelligent functions. E-Service Intelligence integrates intelligent techniques into e-service systems for realizing intelligent internet information searching, presentation, provision, recommendation, online system design, implementation, and assessment to internet users. This book offers a thorough introduction and systematic overview of the new field and covers the state-of-the-art of the research and development in E-Service Intelligence ranging from e-services and/or intelligent techniques to web information presentation, search, and mining, to personalization, privacy, and trust in e-services, to e-service evaluation, optimization and knowledge discovery, and to intelligent e-service system developments.

Engineering sciences. Technology --- Distribution strategy --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- ICT (informatie- en communicatietechnieken) --- analyse (wiskunde) --- bedrijfseconomie --- informatiesystemen --- e-commerce --- KI (kunstmatige intelligentie) --- informatica management --- ingenieurswetenschappen --- robots