necula, sabina-cristiana (2010): Discussions on Applied Mathematics in Decision-Making Modeling with Decision Support Systems and Knowledge Based Systems. Published in: Recent Researches in Applied Mathematics (December 2010): pp. 85-90.
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Abstract
This paper tries to discuss some findings in mathematical decision-making modeling models with applications in business processes. We start by presenting some technological implications and implementations of decision-making models. After this we discuss some implementations realized by us and that consists in a neural network, a JAVA implementation of the decision-making model, an expert systems-shell implementation and an implementation with ontology and inference engine. The paper ends with usefull conclusions drawn for decision-making modeling activities.
Item Type: | MPRA Paper |
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Original Title: | Discussions on Applied Mathematics in Decision-Making Modeling with Decision Support Systems and Knowledge Based Systems |
English Title: | Discussions on Applied Mathematics in Decision-Making Modeling with Decision Support Systems and Knowledge Based Systems |
Language: | English |
Keywords: | decision-making, DSS, KBS, ontology, inference engine, OWL |
Subjects: | D - Microeconomics > D8 - Information, Knowledge, and Uncertainty > D83 - Search ; Learning ; Information and Knowledge ; Communication ; Belief ; Unawareness L - Industrial Organization > L8 - Industry Studies: Services > L86 - Information and Internet Services ; Computer Software |
Item ID: | 51542 |
Depositing User: | Sabina Cristiana Necula |
Date Deposited: | 18 Nov 2013 18:51 |
Last Modified: | 01 Oct 2019 18:21 |
References: | Airinei D., Depozite de date, Polirom Publishing House, Iaşi, 2002, p. 23 Bizer C, D2RQ V0.5 - Treating Non-RDF Databases as Virtual RDF Graphs, 2006, at http://sites.wiwiss.fu-berlin.de/suhl/bizer/D2RQ/, accessed 30 June 2007 Chandrasekaran B, Design Problem Solving: A Task Analysis, American Association for Artificial Intelligence, 1990, vol. 11, no. 4, pp. 59-71, http://www.cse.ohio-state.edu/~chandra/ai-mag-design-ps.pdf Chandrasekaran B, From Numbers to symbols to Knowledge Structures: AI Perspectives on the Classification Task, IEEE, 1988, vol.18, no.3, pp.415-425, http://www.cse.ohio-state.edu/~chandra/From-numbers-symbols-knowledge.pdf Chen H, et.al., Toward a Semantic Web of Relational Databases: a Practical Semantic Toolkit and an In-Use Case from Traditional Chinese Medi-cine, ISWC 2006 Conference, http://iswc2006.semanticweb.org/items/Chen2006kx.pdf Epstein M.J., Westbrook R.A., Linking Actions to Profits in Strategic Decision Making, MIT Sloan Management Review, 2001, vol. 42, nr. 3, pp. 38-49 Fayyad U, Shapiro G, Smyth P, From Data Mining to Knowledge Discovery in Databases, American Association for Artificial Intelligence, 1996, www.aaai.org/AITopics/assets/PDF/AIMag17-03-2-article.pdf Google, Semantic Web Ontology Editor, at http://code.google.com/p/swoop/ Mihalache, S.C, Accounting Decisions’ Modelling with Intelligent Technologies, Proceedings of the 8th WSEAS International Conference, on Mathematics and Computers in Business and Economics (MCBE’07), WSEAS Press, Vancouver, Canada, 2007, : 162-170 Mihalache, S.C, The Accounting Decisions and their Modelling Using Specialized Computer-Based Tools, The International Journal of Digital Accounting Research, 7(13): 25-51, 2007 Mihalache, S.C, Thinking in Decision Rules: Specifying a Metamodel to Organize Information, Lecture Notes in Electrical Engineering, vol. 28(2), Springer Science + Business media LLC, New York, USA, 2009 Musen M, Modern Architectures for Intelligent Systems: Reusable Ontologies and Problem-Solving Methods, AMIA Annual Symposium, Orlando, FL, 1998, http://smi.stanford.edu/smi-web/reports/SMI-98-0734.pdf Newell A, Simon H, GPS, A Program That Simulates Human Thought, in Computers and Thought, eds. Feigenbaum E. Feldman J (1995) American Association for Artificial Intelligence Press Edition, pp.279-293, http://www.cog.jhu.edu/faculty/smolensky/050.326-626/Foundations%20Readings%20PDFs/Newell&Simon-1963-GPS.pdf Protégé, The Protégé Ontology Editor and Knowledge Acquisition System from Stanford University, at http://protege.stanford.edu/ Schreiber G, et.al., Knowledge Engineering and Management – The CommonKADS Methodology, MIT Press, London, England, 2000, pp.403-418 Studer R, Benjamins VR, Fensel D, Knowledge Engineering: Principles and Methods, in Data & Knowledge Engineering (1998) 25(1-2):161-197 http://hcs.science.uva.nl/usr/richard/postscripts/dke.ps Tang Z, MacLennan J, Data Mining with SQL Server 2005, 2005, Wiley Publishing Inc, Indianapolis, Indiana W3C, Resource Description Framework (RDF), at http://www.w3.org/RDF/ W3C, Web Ontology Language (OWL), at http://www.w3.org/TR/owl-features/ |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/51542 |