Dissertations / Theses on the topic 'Rule based systems'
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Wang, Olivier. "Adaptive Rules Model : Statistical Learning for Rule-Based Systems." Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLX037/document.
Full textBusiness Rules (BRs) are a commonly used tool in industry for the automation of repetitive decisions. The emerging problem of adapting existing sets of BRs to an ever-changing environment is the motivation for this thesis. Existing Supervised Machine Learning techniques can be used when the adaptation is done knowing in detail which is the correct decision for each circumstance. However, there is currently no algorithm, theoretical or practical, which can solve this problem when the known information is statistical in nature, as is the case for a bank wishing to control the proportion of loan requests its automated decision service forwards to human experts. We study the specific learning problem where the aim is to adjust the BRs so that the decisions are close to a given average value.To do so, we consider sets of Business Rules as programs. After formalizing some definitions and notations in Chapter 2, the BR programming language defined this way is studied in Chapter 3, which proves that there exists no algorithm to learn Business Rules with a statistical goal in the general case. We then restrain the scope to two common cases where BRs are limited in some way: the Iteration Bounded case in which no matter the input, the number of rules executed when taking the decision is less than a given bound; and the Linear Iteration Bounded case in which rules are also all written in Linear form. In those two cases, we later produce a learning algorithm based on Mathematical Programming which can solve this problem. We briefly extend this theory and algorithm to other statistical goal learning problems in Chapter 5, before presenting the experimental results of this thesis in Chapter 6. The last includes a proof of concept to automate the main part of the learning algorithm which does not consist in solving a Mathematical Programming problem, as well as some experimental evidence of the computational complexity of the algorithm
Stackhouse, Christian Paul 1960. "AN ADAPTIVE RULE-BASED SYSTEM." Thesis, The University of Arizona, 1987. http://hdl.handle.net/10150/276534.
Full textClark, Gary George. "Rule-based integrated building management systems." Thesis, Brunel University, 1993. http://bura.brunel.ac.uk/handle/2438/5150.
Full textCarden, Kenneth John. "Explanation in rule-based expert systems." Thesis, Rhodes University, 1988. http://hdl.handle.net/10962/d1002034.
Full textMoi, Havard. "Rule-based control of manufacturing systems." Thesis, Hong Kong : University of Hong Kong, 2000. http://sunzi.lib.hku.hk/hkuto/record.jsp?B22190168.
Full textSelva, Valero Daniel. "Rule-based system architecting of Earth observation satellite systems." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/76089.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (p. 399-412).
System architecting is concerned with exploring the tradespace of early, high-level, system design decisions with a holistic, value-centric view. In the last few years, several tools and methods have been developed to support the system architecting process, focusing on the representation of an architecture as a set of interrelated decisions. These tools are best suited for applications that focus on breadth - i.e., enumerating a large and representative part of the architectural tradespace -as opposed to depth - modeling fidelity. However, some problems in system architecting require good modeling depth in order to provide useful results. In some cases, a very large body of expert knowledge is required. Current tools are not designed to handle such large bodies of knowledge because they lack scalability and traceability. As the size of the knowledge base increases, it becomes harder: a) to modify existing knowledge or add new knowledge; b) to trace the results of the tool to the model assumptions or knowledge base. This thesis proposes a holistic framework for architecture tradespace exploration of large complex systems that require a large body of expert knowledge. It physically separates the different bodies of knowledge required to solve a system architecting problem (i.e., knowledge about the domain, knowledge about the class of optimization or search problem, knowledge about the particular instance of problem) by using a rule-based expert system. It provides a generic population-based heuristic algorithm for search, which can be augmented with rules that encode knowledge about the domain, or about the optimization problem or class of problems. It identifies five major classes of system architecting problems from the perspective of optimization and search, and provides rules to enumerate architectures and search through the architectural tradespace of each class. A methodology is also defined to assess the value of an architecture using a rule-based approach. This methodology is based on a decomposition of stakeholder needs into requirements and a systematic comparison between system requirements and system capabilities using the rules engine. The framework is applied to the domain of Earth observing satellite systems (EOSS). Three EOSS are studied in depth: the NASA Earth Observing System, the NRC Earth Science Decadal Survey, and the Iridium GEOscan program. The ability of the framework to produce useful results is shown, and specific insights and recommendations are drawn.
by Daniel Selva Valero.
Ph.D.
Deedman, Galvin Charles. "Building rule-based expert systems in case-based law." Thesis, University of British Columbia, 1987. http://hdl.handle.net/2429/26137.
Full textLaw, Peter A. Allard School of
Graduate
Wang, Jinchang. "Rule-based expert systems and discrete optimization." Diss., Georgia Institute of Technology, 1990. http://hdl.handle.net/1853/29358.
Full textBottaci, L. "The modifiability of rule-based expert systems." Thesis, Brunel University, 1985. http://bura.brunel.ac.uk/handle/2438/5789.
Full textShin, Hyun-Myung. "Rule-based systems approach to fixture design /." The Ohio State University, 1988. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487597424137913.
Full textEshete, Azeb Bekele. "Integrated Case Based and Rule Based Reasoning for Decision Support." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2009. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9978.
Full textThis project is a continuation of my specialization project which was focused on studying theoretical concepts related to case based reasoning method, rule based reasoning method and integration of them. The integration of rule-based and case-based reasoning methods has shown a substantial improvement with regards to performance over the individual methods. Verdande Technology As wants to try integrating the rule based reasoning method with an existing case based system. This project focuses on designing, implementing and testing of a demo system that demonstrates the development of a rule based reasoning component and integrating it with the existing case based system of Verdande Technology As.
Jayanty, Suresh. "A Rule Based Expert System Framework for Small Water Systems." TopSCHOLAR®, 2005. http://digitalcommons.wku.edu/theses/502.
Full textCook, Anthony. "Automated cartographic name placement using rule-based systems." Thesis, University of South Wales, 1988. https://pure.southwales.ac.uk/en/studentthesis/automated-cartographic-name-placement-using-rulebased-systems(d49af2c8-3a37-44c1-8cb6-a6cd3ec3195f).html.
Full textGrossner, Clifford. "Models and tools for cooperating rule-based systems." Thesis, McGill University, 1994. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=28768.
Full textJanidlo, Peter S. "Rule-based expert systems and tonal chord classification." Virtual Press, 1999. http://liblink.bsu.edu/uhtbin/catkey/1137841.
Full textDepartment of Computer Science
Moseley, Charles Warren. "A Timescale Estimating Model for Rule-Based Systems." Thesis, North Texas State University, 1987. https://digital.library.unt.edu/ark:/67531/metadc332089/.
Full textHaghighi, Mona. "Rule-based Risk Monitoring Systems for Complex Datasets." Scholar Commons, 2016. http://scholarcommons.usf.edu/etd/6248.
Full textLlibre, Lawrence Michael. "A prototype explanation facility for rule-based and/or object-oriented knowledge-based systems." Thesis, Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/19547.
Full textLiu, Han. "Rule based systems for classification in machine learning context." Thesis, University of Portsmouth, 2015. https://researchportal.port.ac.uk/portal/en/theses/rule-based-systems-for-classification-in-machine-learning-context(1790225c-ceb1-48d3-9e05-689edbfa3ef1).html.
Full textMoon, Myung Soo. "Rule-Based Approaches for Controlling on Mode Dynamic Systems." Diss., Virginia Tech, 1997. http://hdl.handle.net/10919/30684.
Full textPh. D.
Carse, Brian. "Artificial evolution of fuzzy and temporal rule based systems." Thesis, University of the West of England, Bristol, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.267551.
Full textShea, Timothy E. "Use of computer-based rule systems in graphic design." Thesis, Massachusetts Institute of Technology, 1986. http://hdl.handle.net/1721.1/78952.
Full textMICROFICHE COPY AVAILABLE IN ARCHIVES AND ROTCH.
Bibliography: leaves 125-130.
Timothy E. Shea.
M.S.V.S.
Weng, Wen-I. "A rule-based weapon suggestion system for shipboard three dimensional defense." Thesis, Monterey, California : Naval Postgraduate School, 1990. http://handle.dtic.mil/100.2/ADA243421.
Full textThesis Advisor(s): Lee, Yuh-jeng. Second Reader: Giannotti, B. B. "December 1990." Description based on title screen as viewed on March 30, 2010. DTIC Descriptor(s): Weapons, Simulation, Detectors, Decision Making, Defense Systems, Accuracy, Efficiency, Theses, Targets, Three Dimensional, Shipboard, Expert Systems, Systems Approach, Enemy, Timeliness, Battles, Naval Vessels(Combatant), Preprocessing, Decision Support Systems, Input. DTIC Identifier(s): Rule Based Systems, Decision Aids, Weapon System Effectiveness, Shipboard, KEE(Knowledge Engineering Environment), WSS(Weapon Suggestion System), Target Detection, Threat Evaluation, Naval Vessels(Combatant), Tactical Analysis, Theses. Includes bibliographical references (p. 74-76). Also available in print.
Sánchez-Martínez, Felipe. "Using unsupervised corpus-based methods to build rule-based machine translation systems." Doctoral thesis, Universidad de Alicante, 2008. http://hdl.handle.net/10045/13879.
Full textSankarasubramanian, Venkatasubramanian. "Rule based expert system for manufacturing process selection." Ohio : Ohio University, 2005. http://www.ohiolink.edu/etd/view.cgi?ohiou1126215558.
Full textToms, Anders. "Utredning av integrationsaspekter vid Rule Based Engineering (RBE)." Thesis, University of Skövde, Department of Computer Science, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-673.
Full textVid produktutveckling inom industriföretag finns idag luckor vad gäller IT-stöd i arbetets olika faser. Införandet av s.k. RBE-system (Rule Based Engineering) är ett steg på vägen mot att försöka fylla dessa luckor. Meningen med ett RBE-system kan sägas vara att ersätta traditionella konstruktionshandböcker med motsvarande konstruktionsanvisningar i digital form. Detta ger möjligheter till automatisering av processer som är tidskrävande, monotona och ofta förekommande, t.ex. olika former av komponentval, dimensioneringsprocesser etc. En av utgångspunkterna vid utvecklingen av RBE-system är att utgå från existerande programvaror. Detta kan ställa stora krav på utvecklarna. En fördel är om det finns en solid grund i form av fakta om vilka attribut hos ett program som är viktiga att ta hänsyn till för att underlätta valet av programvaror som lämpar sig integrationstekniskt för att koppla ihop med andra. Detta arbete syftar till att utreda dessa integrationstekniska aspekter.
Rasmussen, Kai. "Developing a Cognitive Rule-Based Tutor for the ASSISTment System." Digital WPI, 2007. https://digitalcommons.wpi.edu/etd-theses/39.
Full textWada, Atsushi. "Analysis and design of rule-based evolutionary reinforcement learning systems." 京都大学 (Kyoto University), 2005. http://hdl.handle.net/2433/144507.
Full textBlackman, Susan Jane. "Expert systems in case-based law : the rule against hearsay." Thesis, University of British Columbia, 1988. http://hdl.handle.net/2429/27763.
Full textLaw, Peter A. Allard School of
Graduate
Williamson, C. J. "Computer aided process control systems synthesis using rule-based programming." Thesis, University of Canterbury. Chemical Engineering, 1989. http://hdl.handle.net/10092/9407.
Full textMedders, Stephen Charles. "Using rule-based structure to evaluate rule-based system testing completeness a case study of Loci and Quick Test /." Master's thesis, Mississippi State : Mississippi State University, 2008. http://library.msstate.edu/etd/show.asp?etd=etd-03052008-174707.
Full textArney, Dale Curtis. "Rule-based graph theory to enable exploration of the space system architecture design space." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/44840.
Full textOeltjen, Craig L. "A comparison of computational cognitive models : agent-based systems versus rule-based architectures." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03Mar%5FOeltjen.pdf.
Full textThesis advisor(s): Rudolph Darken, Barry Peterson. Includes bibliographical references (p. 61). Also available online.
Jafar, Musa Jafar. "A tool for interactive verification and validation of rule-based expert systems." Diss., The University of Arizona, 1989. http://hdl.handle.net/10150/184805.
Full textCong, Phan Chinh. "An approach to adaptive inference engine for rule-based consultation systems." [S.l.] : [s.n.], 2006. http://deposit.ddb.de/cgi-bin/dokserv?idn=982121717.
Full textKopanas, Vassilios. "Relational database support for a rule based approach to information systems." Thesis, University of Manchester, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.358052.
Full textJirapanthong, Waraporn. "A rule-based approach for software traceability on product family systems." Thesis, City University London, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.435040.
Full textCruz, Anderson Paiva. "On Fuzzy Implication Classes - Towards Extensions of Fuzzy Rule-Based Systems." Universidade Federal do Rio Grande do Norte, 2012. http://repositorio.ufrn.br:8080/jspui/handle/123456789/18684.
Full textCoordena??o de Aperfei?oamento de Pessoal de N?vel Superior
Atualmente, h? diferentes defini??es de implica??es fuzzy aceitas na literatura. Do ponto de vista te?rico, esta falta de consenso demonstra que h? discord?ncias sobre o real significado de "implica??o l?gica" nos contextos Booleano e fuzzy. Do ponto de vista pr?tico, isso gera d?vidas a respeito de quais "operadores de implica??o" os engenheiros de software devem considerar para implementar um Sistema Baseado em Regras Fuzzy (SBRF). Uma escolha ruim destes operadores pode implicar em SBRF's com menor acur?cia e menos apropriados aos seus dom?nios de aplica??o. Uma forma de contornar esta situa??o e conhecer melhor os conectivos l?gicos fuzzy. Para isso se faz necess?rio saber quais propriedades tais conectivos podem satisfazer. Portanto, a m de corroborar com o significado de implica??o fuzzy e corroborar com a implementa??o de SBRF's mais apropriados, v?rias leis Booleanas t?m sido generalizadas e estudadas como equa??es ou inequa??es nas l?gicas fuzzy. Tais generaliza??es s?o chamadas de leis Boolean-like e elas n?o s?o comumente v?lidas em qualquer sem?ntica fuzzy. Neste cen?rio, esta disserta??o apresenta uma investiga??o sobre as condi??es suficientes e necess?rias nas quais tr?s leis Booleanlike ?like ? y ? I(x, y), I(x, I(y, x)) = 1 e I(x, I(y, z)) = I(I(x, y), I(x, z)) ?? se mant?m v?lidas no contexto fuzzy, considerando seis classes de implica??es fuzzy e implica??es geradas por automorfismos. Al?m disso, ainda no intuito de implementar SBRF's mais apropriados, propomos uma extens?o para os mesmos
There are more than one acceptable fuzzy implication definitions in the current literature dealing with this subject. From a theoretical point of view, this fact demonstrates a lack of consensus regarding logical implication meanings in Boolean and fuzzy contexts. From a practical point of view, this raises questions about the implication operators" that software engineers must consider to implement a Fuzzy Rule Based System (FRBS). A poor choice of these operators generates less appropriate FRBSs with respect to1 their application domain. In order to have a better understanding of logical connectives, it is necessary to know the properties that they can satisfy. Therefore, aiming to corroborate with fuzzy implication meaning and contribute to implementing more appropriate FRBSs to their domain, several Boolean laws have been generalized and studied as equations or inequations in fuzzy logics. Those generalizations are called Booleanlike laws and a lot of them do not remain valid in any fuzzy semantics. Within this context, this dissertation presents the investigation of sucient and necessary conditions under which three Boolean-like laws | y I(x; y), I(x; I(y; x)) = 1 and I(x; I(y; z)) = I(I(x; y); I(x; z)) | hold for six known classes of fuzzy implications and for implications generated by automorphisms. Moreover, an extension to FRBSs is proposed
Erdani, Yuliadi. "Acquisition of Human Expert Knowledge for Rule-based Knowledge-based Systems using Ternary Grid." Gerhard-Mercator-Universitaet Duisburg, 2005. http://www.ub.uni-duisburg.de/ETD-db/theses/available/duett-06282005-101136/.
Full textSteffens, Timo. "Enhancing similarity measures with imperfect rule-based background knowledge." Doctoral thesis, Berlin Aka, 2006. http://deposit.d-nb.de/cgi-bin/dokserv?id=2898562&prov=M&dok_var=1&dok_ext=htm.
Full textKarakaşoğlu, Ahmet 1961. "Design of a rule-based control system for decentralized adaptive control of robotic manipulators." Thesis, The University of Arizona, 1988. http://hdl.handle.net/10150/276874.
Full textIslam, Raihan Ul. "Wireless Sensor Network Based Flood Prediction Using Belief Rule Based Expert System." Licentiate thesis, Luleå tekniska universitet, Datavetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-66415.
Full textHaldavnekar, Nikhil. "An algorithm and implementation for extracting schematic and semantic knowledge from relational database systems." [Gainesville, Fla.] : University of Florida, 2002. http://purl.fcla.edu/fcla/etd/UFE0000541.
Full textKarmakar, Gour Chandra 1970. "An integrated fuzzy rule-based image segmentation framework." Monash University, Gippsland School of Computing and Information Technology, 2002. http://arrow.monash.edu.au/hdl/1959.1/8752.
Full textChatterjee, Raja. "KBMS-based evolutionary prototyping of object-oriented software systems /." CLICK ON LINK, THEN SEARCH BY AUTHOR OR TITLE; ACCESS RESTRICTED TO COMPUTERS ON UF CAMPUS OR WITH UF IP ADDRESSES, 1998. http://wwwlib.umi.com/cr/ufl/main.
Full textTypescript. Vita. Includes bibliographical references (leaves 115-118). Full text also available from UMI Current Research @ database; Adobe Acrobat Reader required to display text; see LINKS to connect
Kuo, Yung-Li. "Developing a rule-based expert system with C programming language." Virtual Press, 1988. http://liblink.bsu.edu/uhtbin/catkey/552943.
Full textDepartment of Computer Science
Vetcha, Sarat Babu. "Fault diagnosis in pumps by unsupervised neural networks." Thesis, University of Sussex, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.300604.
Full textMehldau, Gerhard 1959. "A RULE-BASED PROGRAMMING LANGUAGE AND ITS APPLICATION TO IMAGE RECOGNITION." Thesis, The University of Arizona, 1986. http://hdl.handle.net/10150/276360.
Full textThola, Forest D. "Minimizing Recommended Error Costs Under Noisy Inputs in Rule-Based Expert Systems." NSUWorks, 2012. http://nsuworks.nova.edu/gscis_etd/323.
Full textBaggi, Michele. "Rule-based Methodologies for the Specification and Analysis of Complex Computing Systems." Doctoral thesis, Universitat Politècnica de València, 2010. http://hdl.handle.net/10251/8964.
Full textBaggi ., M. (2010). Rule-based Methodologies for the Specification and Analysis of Complex Computing Systems [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/8964
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