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Books on the topic 'Decision Support System and Expert System'

Author: Grafiati
Published: 4 June 2021
Last updated: 13 February 2022

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1

Pulat, P. Simin. A decision support system for tolerance allocation. Norman, Okla: School of Industrial Engineering, University of Oklahoma, 1993.

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2

Porter, Olen D. A decision support system for the diagnosis of aircraft emergencies. Monterey, Calif: Naval Postgraduate School, 1986.

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3

Johnston, Michael. An expert system to support prescribed burning decisions. Vancouver, B.C: Forest Economics and Policy Analysis Research Unit, 1990.

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4

L, Cats-Baril William, and Alemi Farrokh, eds. Systems to support health policy analysis: Theory, models, and uses. Ann Arbor, Mich: Health Administration Press, 1992.

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5

Richardson, H. J. Developing an expert system to provide decision support for women workers seeking unfair dismissal on the grounds of pregnancy. Manchester: UMIST, 1996.

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6

Varlamov, Oleg. Fundamentals of creating MIVAR expert systems. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1513119.

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Methodological and applied issues of the basics of creating knowledge bases and expert systems of logical artificial intelligence are considered. The software package "MIV Expert Systems Designer" (KESMI) Wi!Mi RAZUMATOR" (version 2.1), which is a convenient tool for the development of intelligent information systems. Examples of creating mivar expert systems and several laboratory works are given. The reader, having studied this tutorial, will be able to independently create expert systems based on KESMI. The textbook in the field of training "Computer Science and Computer Engineering" is intended for students, bachelors, undergraduates, postgraduates studying artificial intelligence methods used in information processing and management systems, as well as for users and specialists who create mivar knowledge models, expert systems, automated control systems and decision support systems. Keywords: cybernetics, artificial intelligence, mivar, mivar networks, databases, data models, expert system, intelligent systems, multidimensional open epistemological active network, MOGAN, MIPRA, KESMI, Wi!Mi, Razumator, knowledge bases, knowledge graphs, knowledge networks, Big knowledge, products, logical inference, decision support systems, decision-making systems, autonomous robots, recommendation systems, universal knowledge tools, expert system designers, logical artificial intelligence.
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7

Varlamov, Oleg. 18 examples of mivar expert systems. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1248446.

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Many years of research on mivar technologies of logical artificial intelligence have allowed us to create a new powerful, versatile and fast tool, which is called "multidimensional open gnoseological active net" — "multidimensional open gnoseological active net: MOGAN". This tool allows you to quickly and easily design algorithms and work with logical reasoning in the "If..., Then..." format, and it can be used to model cause-and-effect relationships in different subject areas and create knowledge bases of new-generation applied artificial intelligence systems and real-time mivar expert systems with "Big Knowledge". The reader, after studying this tutorial, you will be able to create mivar expert system with the help of CASMI Wi!Mi. Designed for students, bachelors, masters and postgraduate students studying artificial intelligence methods, as well as for users, experts and specialists, creating a system of information processing and management, mivar models, expert systems, automated control systems, systems of decision support and Recommender systems.
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8

Turban, Efraim. Decision support and expert systems: Management support systems. 3rd ed. New York: Macmillan, 1993.

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9

Turban, Efraim. Decision support and expert systems: Management support systems. 4th ed. London: Prentice-Hall International, 1995.

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10

Turban, Efraim. Decision support and expert systems: Management support systems. 2nd ed. New York: Macmillan, 1990.

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11

Decision support and expert systems: Management support systems. 4th ed. Englewood Cliffs, N.J: Prentice Hall, 1995.

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12

E, Aronson Jay, and Liang Ting-Peng 1953-, eds. Decision support systems and intelligent systems. 7th ed. Upper Saddle River, NJ: Pearson Prentice-Hall, 2005.

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13

E, Aronson Jay, and Liang Ting-Peng 1953-, eds. Decision support systems and intelligent systems. 7th ed. Upper Saddle River, New Jersey: Prentice Hall, 2005.

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14

E, Aronson Jay, and Turban Efraim, eds. Decision support systems and intelligent systems. 5th ed. Upper Saddle River, N.J: Prentice-Hall, 1998.

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15

E, Aronson Jay, ed. Decision support systems and intelligent systems. 6th ed. Upper Saddle River, NJ: Prentice Hall, 2001.

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16

Turban, Efraim. Decision support systems and intelligent systems. 6th ed. [New Delhi]: Prentice-Hall India, 2001.

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17

E, Aronson Jay, and Turban Efraim, eds. Decision support systems and intelligent systems. 5th ed. Upper Saddle River, N.J: Prentice Hall, 1998.

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18

Leigh, William E. Decision support and expert systems. Cincinnati: South-Western Pub. Co., 1986.

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19

Mallach, Efrem. Understanding decision support systems and expert systems. Burr Ridge, Ill: Irwin, 1994.

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20

Understanding decision support systems and expert systems. London: Irwin, 1998.

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21

Turban, Efraim. Decision support systems and intelligent systems. 7th ed. New Delhi: Prentice-Hall of India, 2005.

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22

Olson, David Louis. Decision support models and expert systems. Houston TX: Dame Publications, 1997.

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23

Evaluating decision support and expert systems. New York: Wiley, 1992.

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24

1944-, Courtney James F., ed. Decision support models and expert systems. New York: Macmillan, 1992.

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25

Jay, Liebowitz. The dynamics of decision support systems andexpert systems. Chicago, Ill: Dryden Press, 1990.

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26

Liebowitz, Jay. The dynamics of decision support systems and expert systems. Chicago, Ill: Dryden Press, 1990.

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27

Sol, Henk G., Cees A. Th Takkenberg, and Pieter F. De Vries Robbé, eds. Expert Systems and Artificial Intelligence in Decision Support Systems. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3805-2.

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28

Turban, Efraim. Decision support and business intelligence systems. 9th ed. Upper Saddle River, N.J: Pearson/Prentice Hall, 2011.

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29

Varlamov, Oleg. Mivar databases and rules. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1508665.

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The multidimensional open epistemological active network MOGAN is the basis for the transition to a qualitatively new level of creating logical artificial intelligence. Mivar databases and rules became the foundation for the creation of MOGAN. The results of the analysis and generalization of data representation structures of various data models are presented: from relational to "Entity — Relationship" (ER-model). On the basis of this generalization, a new model of data and rules is created: the mivar information space "Thing-Property-Relation". The logic-computational processing of data in this new model of data and rules is shown, which has linear computational complexity relative to the number of rules. MOGAN is a development of Rule - Based Systems and allows you to quickly and easily design algorithms and work with logical reasoning in the "If..., Then..." format. An example of creating a mivar expert system for solving problems in the model area "Geometry"is given. Mivar databases and rules can be used to model cause-and-effect relationships in different subject areas and to create knowledge bases of new-generation applied artificial intelligence systems and real-time mivar expert systems with the transition to"Big Knowledge". The textbook in the field of training "Computer Science and Computer Engineering" is intended for students, bachelors, undergraduates, postgraduates studying artificial intelligence methods used in information processing and management systems, as well as for users and specialists who create mivar knowledge models, expert systems, automated control systems and decision support systems. Keywords: cybernetics, artificial intelligence, mivar, mivar networks, databases, data models, expert system, intelligent systems, multidimensional open epistemological active network, MOGAN, MIPRA, KESMI, Wi!Mi, Razumator, knowledge bases, knowledge graphs, knowledge networks, Big knowledge, products, logical inference, decision support systems, decision-making systems, autonomous robots, recommendation systems, universal knowledge tools, expert system designers, logical artificial intelligence.
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30

Decision support and expert systems: Managerial perspectives. New York: Macmillan, 1988.

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31

Rienhoff, O., U. Piccolo, and B. Schneider, eds. Expert Systems and Decision Support in Medicine. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-48706-4.

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32

Efraim, Turban, ed. Investment management: Decision support and expert systems. Boston, MA: Boyd & Fraser Pub. Co., 1990.

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33

Duncan, W. M. Decision support and executive information systems. London: University of London, External Advisory Service, 1994.

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34

Ahmad, M. K. A legal expert system to provide decision support on that area of employment law which is concerned with the significance of the distinction between contracts of service and contracts for service. Manchester: UMIST, 1996.

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35

Leigh, W. E. Decision support and expertsystems. Cincinnati: South-Western Pub. Co., 1986.

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36

Flavin, P. G. Computer Aided Decision Support in Telecommunications. Dordrecht: Springer Netherlands, 1996.

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37

Chau, Maggie Choi-ying. Decision support system in budgeting. [s.l: The Author], 1992.

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38

Shan, Siqing, and Qi Yan. Emergency Response Decision Support System. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3542-5.

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39

Carthon, Mitchel. The Telecommunications Emergency Decision Support System as a crisis management decision support system. Monterey, Calif: Naval Postgraduate School, 1991.

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40

Efraim, Turban, ed. Investment management: Decision support and expertsystems. Boston, Mass: Boyd & Fraser Publishing, 1990.

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41

Rationalizing medical work: Decision-support techniques and medical practices. Cambridge, Mass: MIT Press, 1997.

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42

Baden-Baden, Germany) Symposium on Engineering and Management of IT-Based Organizational Systems: a. Systems Approach (2008. Engineering and management of IT-based organizational systems: A systems approach. Windsor, Ont: International Institute for Advanced Studies in Systems Research and Cybernetics, 2008.

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43

International Conference on Systems Research, Informatics and Cybernetics (17th 2005 Baden-Baden, Germany). Advances in decision technology and intelligent information systems. Windsor, Ont: International Institute for Advanced Studies in Systems Research and Cybernetics, 2005.

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44

Lyons, Norman R. A decision support system for the National Communications System. Monterey, Calif: Naval Postgraduate School, 1986.

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45

Palagin, A. V. Voprosy kognitivno-informat︠s︡ionnoĭ podderzhki postanovki i reshenii︠a︡ novykh nauchnykh problem: Sbornik nauchnykh trudov. Kiev: In-t kibernetiki im. V.M. Glushkova NAN Ukrainy, 1995.

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46

United States. Employment and Training Administration., ed. Kansas nonmonetary expert system prototype. Washington, DC: The Administration, 1990.

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47

Special Focus Symposium on Decision Technology and Intelligent Information Systems (2008 Baden-Baden, Germany). Advances in decision technology and intelligent information systems. Tecumseh, Ont: International Institute for Advanced Studies in Systems Research and Cybernetics, 2008.

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48

Special Focus Symposium on Decision Technology and Intelligent Information Systems (2008 Baden-Baden, Germany). Advances in decision technology and intelligent information systems. Tecumseh, Ont: International Institute for Advanced Studies in Systems Research and Cybernetics, 2008.

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49

Germany) Special Focus Symposium on Decision Technology and Intelligent Information Systems (2007 Baden-Baden. Advances in decision technology and intelligent information systems. Tecumseh, ON: International Institute for Advanced Studies in Systems Research and Cybernetics, 2007.

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50

International Conference on Systems Research, Informatics and Cybernetics (21st 2009 Baden-Baden, Germany). Advances in decision technology and intelligent information systems. Tecumseh, Ont: International Institute for Advanced Studies in Systems Research and Cybernetics, 2009.

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