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Books on the topic 'Warehouse management system; Expert systems'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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1

Drechsler, Frank. Management, information, and expert systems. Irish Academic Press, 1986.

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2

Allen, Ginsberg. Automatic refinement of expert system knowledge bases. Pitman, 1988.

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3

Bruce, MacDonald W., ed. XSEL's progress: The continuing journey of an expert system. Wiley, 1989.

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4

Mockler, Robert J. Developing knowledge-based systems using an expert systems shell. Macmillan Pub. Co., 1992.

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5

Mockler, R. J. Developing knowledge-based systems using an expert system shell. Macmillan Pub. Co., 1992.

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6

Prusinski, Ben. Expert Oracle GoldenGate. Apress, 2011.

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7

Unny, T. E. An expert system for water quality assessment: A report. Ontario Ministry of the Environment], 1988.

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8

Storey, Veda Catherine. View creation: An expert system for database design. ICIT Press, 1988.

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9

Adiguzel, Rahim Ilker. Prototype report generation facility in the Data Traffic Management System. US Army Corps of Engineers, Construction Engineering Research Laboratory, 1987.

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10

Perry, John G. Reusable rocket engine turbopump health management system. Rockwell International, Rocketdyne Division, 1989.

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11

Perry, John G. Reusable rocket engine turbopump health management system. Rockwell International, Rocketdyne Division, 1989.

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12

K, Wensley Anthony, ed. CAPEX: A knowledge-based expert system for substantive audit planning. M. Wiener Publishers, 1996.

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13

Humphrey, Susanne M. The MedIndEx System: Research on interactive knowledge-based indexing and knowledge management. Lister Hill National Center for Biomedical Communications, National Library of Medicine, 1990.

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14

Allen, Mary Kathryn. The development of an artificial intelligence system for inventory management using multiple experts. Council of Logistics Management, 1987.

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15

Nelson, William R. Response tree evaluation: Experimental assessment of an expert system for nuclear reactor operators. EG&G Idaho, 1985.

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16

Varlamov, Oleg. 18 examples of mivar expert systems. 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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17

Varlamov, Oleg. Fundamentals of creating MIVAR expert systems. 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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18

P, Cobham David, ed. Business information systems: Analysis, design, and practice. 5th ed. Pearson, 2004.

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19

Business information systems: Analysis, design, and practice. Addison-Wesley, 1989.

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20

Business information systems: Analysis, design, and practice. 2nd ed. Addison-Wesley, 1995.

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21

P, Cobham David, ed. Business information systems: Analysis, design, and practice. 6th ed. Pearson Education, 2008.

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22

Rasmussen, Jens. Evaluation of the Use of Advanced Information Technology (Expert Systems) for Data Base System Development and Emergency Management in Non-Nuclear Industries. Riso National Laboratory, 1987.

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23

Rasmussen, J. Evaluation of the use of advanced information technology (expert systems) for data base system development and emergency management in non-nuclear industries. Commission of the European Communities, 1987.

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24

Pi︠a︡tkovskiĭ, O. I. Metody postroenii︠a︡ intellektualʹnykh informat︠s︡ionnykh sistem analiza khozi︠a︡ĭstvennoĭ dei︠a︡telʹnosti predprii︠a︡tiĭ. Altaĭskiĭ gos. tekhnicheskiĭ universitet im. I.I. Polzunova, 1999.

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25

1951-, Khosrowpour Mehdi, ed. Managing information resources in the 1990s: Proceedings of 1990 Information Resources Management Association International Conference. Idea Group Pub., 1990.

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26

Information Resources Management Association. International Conference. Managing information resources in the 1990s: Proceedings of the 1990 Information Resources Management Association International Conference, Hershey, Pennsylvania May 14-16, 1990. Idea Group Publishing, 1991.

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27

C, Rothman Raymond. Programming in your words, expert or novice: With any database program, custom-make your programs, linguistic technique, filing and accounting system. Database Users & Information Managers International, 1988.

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28

Reynolds, Keith M. NetWeaver for EMDS user guide (version 1.1): A knowledge base development system. U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 1999.

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29

International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (13th 2010 Dortmund, Germany). Computational intelligence for knowledge-based system design: 13th International Conference on Information Processing and Management of Uncertainty, IPMU 2010, Dortmund, Germany, June 28-July 2, 2010 : proceedings. Springer, 2010.

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30

KSEM, 2010 (2010 Belfast Northern Ireland). Knowledge science, engineering and management: 4th international conference, KSEM 2010, Belfast, Northern Ireland, UK, September 1-3, 2010 : proceedings. Springer, 2010.

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31

KSEM, 2010 (2010 Belfast Northern Ireland). Knowledge science, engineering and management: 4th international conference, KSEM 2010, Belfast, Northern Ireland, UK, September 1-3, 2010 : proceedings. Springer, 2010.

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32

Armando, Escalante, and SpringerLink (Online service), eds. Handbook of Data Intensive Computing. Springer Science+Business Media, LLC, 2011.

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33

D, Zhang Zili Ph, and Siekmann Jörg H, eds. Knowledge science, engineering and management: Second international conference, KSEM 2007, Melbourne, Australia, November 28-30, 2007 : proceedings. Springer, 2007.

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34

Varlamov, Oleg. Mivar databases and rules. 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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35

Center, Langley Research, ed. Knowledge-based system for flight information management. National Aeronautics and Space Administration, Langley Research Center, 1990.

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36

Center, Langley Research, ed. Knowledge-based system for flight information management. National Aeronautics and Space Administration, Langley Research Center, 1990.

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37

Knowledge-based system for flight information management. National Aeronautics and Space Administration, Langley Research Center, 1990.

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38

Reusable rocket engine turbopump health management system. National Aeronautics and Space Administration, 1994.

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39

United States. National Aeronautics and Space Administration., ed. Reusable rocket engine turbopump health management system. National Aeronautics and Space Administration, 1994.

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40

Raschid, Louiqa. The design and implementation techniques for an integrated knowledge base management system. 1987.

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41

K, Hicks Donald, Neathammer R. D, Construction Engineering Research Laboratory, and US Army Engineering and Housing Support Center., eds. Framework for developing an expert system-based decision support system for managing U.S. Army Directorates of Engineering and Housing equipment fleets. US Army Corps of Engineers, Construction Engineering Research Laboratory, 1990.

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42

"A fuzzy expert system for fault management of water supply recovery in the ALSS project": Final technical report, project #NAG9-777. National Aeronautics and Space Administration, 1998.

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43

Cao, Weidong. Development of an expert system for irrigation and fertilization management in the Pacific Northwest. 1992.

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44

Curtis, Grahame, and Graham Curtis. Business Information Systems. 3rd ed. Prentice Hall College Div, 1998.

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45

Data Warehousing: Using the Wal-Mart Model (The Morgan Kaufmann Series in Data Management Systems). Morgan Kaufmann, 2000.

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46

Sot͡s︡io-tekhniko-ėkonomicheskie sistemy: Optimalʹnostʹ, ustoĭchivostʹ, zhivuchestʹ : sbornik nauchnykh trudov. In-t kibernetiki im. V.M. Glushkova AN USSR, 1989.

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47

Cobham, David, and Graham Curtis. Business Information Systems: Analysis, Design & Practice. 5th ed. Pearson Publications Company, 2005.

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48

Wensley, Anthony K. P., and J. Efrim Boritz. Capex: A Knowledge-Based Expert System for Substantive Audit Planning (Rutgers Series in Accounting Research). M. Wiener Pub., 1995.

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49

Business Information Systems: Analysis, Design, and Practice. 4th ed. Pitman Publishing, 2001.

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50

Knowledge Science Engineering And Management Third International Conference Ksem 2009 Vienna Austria November 2527 2009 Proceedings. Springer, 2010.

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