Last edited by Zulukazahn
Tuesday, April 28, 2020 | History

1 edition of Intelligent Decision Support found in the catalog.

Intelligent Decision Support

Handbook of Applications and Advances of the Rough Sets Theory

by Roman SЕ‚owiЕ„ski

  • 21 Want to read
  • 12 Currently reading

Published by Springer Netherlands in Dordrecht .
Written in English

    Subjects:
  • Artificial intelligence,
  • Symbolic and mathematical Logic,
  • Computer science,
  • Operations research

  • About the Edition

    Intelligent decision support is based on human knowledge related to a specific part of a real or abstract world. When the knowledge is gained by experience, it is induced from empirical data. The data structure, called an information system, is a record of objects described by a set of attributes. Knowledge is understood here as an ability to classify objects. Objects being in the same class are indiscernible by means of attributes and form elementary building blocks (granules, atoms). In particular, the granularity of knowledge causes that some notions cannot be expressed precisely within available knowledge and can be defined only vaguely. In the rough sets theory created by Z. Pawlak each imprecise concept is replaced by a pair of precise concepts called its lower and upper approximation. These approximations are fundamental tools and reasoning about knowledge. The rough sets philosophy turned out to be a very effective, new tool with many successful real-life applications to its credit. It is worthwhile stressing that no auxiliary assumptions are needed about data, like probability or membership function values, which is its great advantage. The present book reveals a wide spectrum of applications of the rough set concept, giving the reader the flavor of, and insight into, the methodology of the newly developed disciplines. Although the book emphasizes applications, comparison with other related methods and further developments receive due attention.

    Edition Notes

    Statementedited by Roman Słowiński
    SeriesTheory and Decision Library, Series D: System Theory, Knowledge Engineering and Problem Solving -- 11, Theory and Decision Library, Series D: System Theory, Knowledge Engineering and Problem Solving -- 11
    Classifications
    LC ClassificationsQ334-342, TJ210.2-211.495
    The Physical Object
    Format[electronic resource] :
    Pagination1 online resource (xvii, 473 p.)
    Number of Pages473
    ID Numbers
    Open LibraryOL27046120M
    ISBN 10904814194X, 940157975X
    ISBN 109789048141944, 9789401579759
    OCLC/WorldCa851372446

    Intelligent Decision Support Systems Based on SMILE I n this article I will share with the readers the basics of and the principles behind intelligent decision sup-port systems based on the theoretically sound prin-ciples of probability theory and decision theory. Recent . einkpapers.icu - Buy Biometric and Intelligent Decision Making Support (Intelligent Systems Reference Library) book online at best prices in India on einkpapers.icu Read Biometric and Intelligent Decision Making Support (Intelligent Systems Reference Library) book reviews & author details and more at einkpapers.icu Free delivery on qualified einkpapers.icu: Arturas Kaklauskas.


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Intelligent Decision Support by Roman SЕ‚owiЕ„ski Download PDF EPUB FB2

Intelligent decision support is based on human knowledge related to a specific part of a real or abstract world. When the knowledge is gained by experience, it is induced from empirical data.

The data structure, called an information system, is a record of objects described by a set of attributes. Decision Support Systems for Business Intelligence, Second Edition is an excellent book for courses on information systems, decision support systems, and data mining at Cited by: einkpapers.icu: Intelligent Decision Support Systems for Sustainable Computing: Paradigms and Applications (Studies in Computational Intelligence Book ) eBook: Arun Kumar Sangaiah, Ajith Abraham, Patrick Siarry, Michael Sheng: Kindle Store.

Appropriate for all courses in Decision Support Systems (DSS), computerized decision making tools, and management support systems.

Todays networked computer systems enable executives to use information in radically new ways, to make dramatically more effective decisions -- and make those decisions more rapidly.

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Intelligent Support Systems for Marketing Decisions examines new product development, market penetration strategies, and other marketing decisions utilizing a confluence of methods, including Decision Support Systems (DSS), Artificial Intelligence in Marketing and Multicriteria Analysis.

The. Intelligent Decision Support System (IDSS): A decision support system with embedded artificial intelligence techniques exhibiting some or all of the abilities indicative of intelligent behavior.

Intelligent Decision Support book System: A system of Intelligent Decision Support book agents that work together to meet their design einkpapers.icu by: 1. Intelligent decision support is based on human knowledge related to a specific part of a real or abstract world.

When the knowledge is gained by experience, it is induced from empirical data. The data structure, called an information system, is a record of objects described by a set of. An intelligent decision support system (IDSS) is a decision support system that makes extensive use of artificial intelligence (AI) techniques.

Use of AI techniques in management information systems has a long history – indeed terms such as "Knowledge-based systems" (KBS) and "intelligent systems" have been used since the early s to describe components of management systems, but the term. ‎The book presents a collection of peer-reviewed articles from the 11th KES International Conference on Intelligent Decision Technologies (KES-IDT), held Malta on 17–19 June The conference provided opportunities for the presentation of new research results and discussion about them.

It was a. Intelligent Decision-making Support Systems: Foundations, Applications and Challenges is the first book to provide integrated coverage of the technical aspects of intelligent Decision-Making Support Systems together with discussion of their application and evaluation in organisational structures.

Decision making is a fundamental human activity at the center of our interaction with the world. This chapter reviews research in decision making and the decision support systems (DSS) that are based on that understanding, along with the concomitant application of artificial intelligence (AI) techniques to create more powerful intelligent decision support systems (IDSS).Cited by: 3.

Decision Support Systems and Intelligent Systems book. Read 4 reviews from the world's largest community for readers. Appropriate for all courses in Deci /5. Intelligent decision support in process environments. Berlin ; New York: Published in cooperation with NATO Scientific Affairs Division [by] Springer-Verlag, © (OCoLC) Online version: NATO Advanced Study Institute on Intelligent Decision Support in Process Environments (.

Intelligent Decision Support Systems have the potential to transform human decision making by combining research in artificial intelligence, information technology, and systems engineering.

Decision support systems are gaining an increased popularity in various domains, including busi-ness, engineering, the military, and medicine. providing intelligent access to relevant knowledge, and aiding the process of structuring decisions. to literature can be found in the book by Dawes [2]).

For example, predictions of future. ‎This book offers the first comprehensive overview of artificial intelligence (AI) technologies in decision support systems for diagnosis based on medical images, presenting cutting-edge insights from thirteen leading research groups around the world.

Medical imaging offers essential information. Apr 05,  · Decision-making Support Systems (DMSS) are computer-based systems that support individual or organisational decision-making processes. Recent advances in information technology and artificial intelligence are enhancing these systems and giving rise to intelligent-DMSS.

Intelligent Decision-making Support Systems: Foundations, Applications and Challenges is the first book to. Aug 01,  · Intelligent Information Systems and Knowledge Management for Energy: Applications for Decision Support, Usage and Environment Protection is a book aimed at enlightening the above concepts and challenges and therefore at providing understanding as to how ICT can contribute to the energy sector.

In particular, its specific purposes are. Dec 09,  · Decision Support and Business Intelligence Systems 9th Edition by Efraim Turban, Ramesh Sharda & Dursen einkpapers.icu XISBN results obtained in the domain of Intelligent Decision Support Systems (IDSS), biometric tech- nologies and their integration.

The author of the book is prof. Kaklauskas, the head of the. Intelligent Decision System (IDS) is a software package for multiple criteria decision einkpapers.icu can handle hybrid types of uncertainty [vague], including probability uncertainty, missing data, subjective judgements, interval data, and any combination of those types of uncertainty.

It uses belief function for problem modelling and the Evidential Reasoning Approach for attribute aggregation. Intelligent Decision Support by Roman Slowinski,available at Book Depository with free delivery worldwide.

We use cookies to give you the best possible experience. By using our website you agree to our use of cookies. Home. Intelligent decision support is based on human knowledge related to a specific part of a real or abstract world. In particular, the granularity of knowledge causes that some notions cannot be Read more.

“Intelligent Decision Support and Big Data for Logistics and Supply Chain Management” features theoretical developments, real-world applications and information systems related to solving decision problems in logistics and supply chain management. Methods include optimization, heuristics, meta-heuristics and matheuristics, simulation, agent.

Intelligent decision support relies on techniques from a variety of disciplines, including artificial intelligence and database management systems.

Most of the existing literature neglects the relationship between these disciplines. By integrating AI and DBMS, Computational Intelligence for Decision. Decision support systems (DSS) have evolved over the past four decades from theoretical concepts into real world computerized applications.

DSS architecture contains three key components: knowledge base, computerized model, and user interface. DSS simulate cognitive decision-making functions of humans based on artificial intelligence methodologies (including expert systems, data mining.

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The current decision-making problems is more complex than it was in the past, prompting the need for decision support. Most real-world decision-making situations are subject to bounded rationality; whereby the technical and economic evaluation of all solution alternatives (branches) is bounded by the consideration of dominant subjective constraints.

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Decision Support Systems and Intelligent Systems (7th Edition) Abstract. No abstract available. Cited By. Nurbojatmiko, Rustamaji E and Firmansyah A Analysis of Study Program Selection Patterns Using FP-Growth and ECLAT Methods Proceedings of the 20th International Conference on Information Integration and Web-based Applications.

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