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Journal articles on the topic 'Expert system with applications'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

White, Richard D. "Expert system applications." Artificial Intelligence in Medicine 1, no. 3 (1989): 146. http://dx.doi.org/10.1016/0933-3657(89)90007-9.

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2

Haider, Haider, Madan Manohar Prasad, and Rajkishore Prasad. "Applications of Expert System in Agro-Informatics." International Journal of Advanced Engineering Research and Science 9, no. 12 (2022): 575–79. http://dx.doi.org/10.22161/ijaers.912.63.

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This paper emphasizes the applications of the Expert System in Agro-informatics and reveals their importance as one of the very useful tools for the transfer of domain specific knowledge to the end users. Agro-informatics is the interdisciplinary branch of study which deals with the application and development of electronics, computer and ICT based tools for agricultural applications. The profession of agriculture aided by the various ICT based tools opens new avenue for applied research. Expert system (ES) is one of the advanced developments in software technology and can play key role in the

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3

Martin, A., and RKH Law. "Expert system for selecting expert system shells." Information and Software Technology 30, no. 10 (1988): 579–86. http://dx.doi.org/10.1016/0950-5849(88)90114-0.

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4

Hatziargyriou, N. D. "Book Review: Expert System Applications in Power Systems." International Journal of Electrical Engineering & Education 30, no. 1 (1993): 32. http://dx.doi.org/10.1177/002072099303000106.

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5

Schon, Stephen, and Omar Keith Helferich. "Expert system applications in customer service." ACM SIGMIS Database: the DATABASE for Advances in Information Systems 20, no. 2 (1989): 38–46. http://dx.doi.org/10.1145/1017914.1017921.

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6

Grady, Gerald J., and Richard K. Schreiber. "Expert System Applications in the IRS." Journal of Policy Analysis and Management 8, no. 2 (1989): 193. http://dx.doi.org/10.2307/3323377.

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7

Blum, Bruce I., and Ralph F. Wachter. "Expert system applications in software engineering." Telematics and Informatics 3, no. 4 (1986): 237–62. http://dx.doi.org/10.1016/s0736-5853(86)80062-4.

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8

Helvacioglu, Sebnem, and Mustafa Insel. "Expert system applications in marine technologies." Ocean Engineering 35, no. 11-12 (2008): 1067–74. http://dx.doi.org/10.1016/j.oceaneng.2008.05.004.

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9

Mauliani, Asri, and Andronias Siregar. "SISTEM PAKAR PENYELEKSIAN KULIT ULAR UNTUK EKSPOR MENGGUNAKAN METODE FORWARD CHAINING PADA CV. ALONA JAYA." Akrab Juara : Jurnal Ilmu-ilmu Sosial 6, no. 4 (2021): 138. http://dx.doi.org/10.58487/akrabjuara.v6i4.2039.

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Snake skin is one type of reptile skin that has now been used as a commodity trade with a fairly high price. Snake skin that is ripe for export certainly experienced some process first, one of the process is the selection to know the skin into the category class I, II or III. CV. Alona Jaya is a company engaged in the export of reptile skin. Human resources owned CV. Alona Jaya not all experts in the field of skin selection, so still need the help of experts in handling the process. Expert system applications capable of imitating the work of an expert in various f

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10

Enns, M., L. Budler, T. W. Cease, et al. "Potential applications of expert systems to power system protection." IEEE Transactions on Power Delivery 9, no. 2 (1994): 720–28. http://dx.doi.org/10.1109/61.296249.

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11

Graham, James H., Gregory Brockman, and John Shea. "Hybrid Expert Maintenance Advisory System for Naval Systems Applications." Naval Engineers Journal 107, no. 1 (1995): 23–32. http://dx.doi.org/10.1111/j.1559-3584.1995.tb02571.x.

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12

Judijanto, Loso. "Overview Development System Experts and Applications In Support Retrieval Decision." Journal of Exploratory Dynamic Problems 1, no. 3 (2024): 178–93. https://doi.org/10.31004/edp.v1i3.91.

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Development system expert has in a way significant change the retrieval process decisions in various domains with simulate skill human and giving solution smart . Review article This explore evolution and implementation system expert in taking decision , use approach review combined literature with analysis qualitative . Studies This in a way systematic study runway theory system experts , their architecture , and the methodology used in its development . With analyze various literature , research This highlighting role important system expert in increase accuracy decisions , efficiency , and

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13

Ostrowsky, Marianne F., and Ruth C. Swezey. "An expert system shell: Expert system environment/VM." ISA Transactions 28, no. 1 (1989): 9–14. http://dx.doi.org/10.1016/0019-0578(89)90049-9.

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14

MAEDA, Mikio, and Shuta MURAKAMI. "Medical Fuzzy Expert System and Its applications." Journal of Japan Society for Fuzzy Theory and Systems 2, no. 2 (1990): 143–54. http://dx.doi.org/10.3156/jfuzzy.2.2_143.

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15

Prasad, B. E., T. S. Perraju, G. Uma, and P. Umarani. "An expert system shell for aerospace applications." IEEE Expert 9, no. 4 (1994): 56–64. http://dx.doi.org/10.1109/64.336148.

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16

Page, B. "An analysis of environmental expert system applications." Environmental Software 5, no. 4 (1990): 177–97. http://dx.doi.org/10.1016/s0266-9838(05)80009-7.

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17

Lu, Ming-Te, and S. P. Mooney. "Assessing expert system applications: A case study." International Journal of Information Management 9, no. 4 (1989): 267–73. http://dx.doi.org/10.1016/0268-4012(89)90050-9.

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18

Adapa, R. "Expert system applications in power system planning and operations." IEEE Power Engineering Review 14, no. 2 (1994): 12. http://dx.doi.org/10.1109/mper.1994.262142.

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19

Levary, Reuven R., and Laurence A. Madeo. "Expert system-user integrated adaptive systems." Expert Systems with Applications 3, no. 4 (1991): 489–98. http://dx.doi.org/10.1016/0957-4174(91)90174-d.

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20

White, Milton. "Expert system standardization." Expert Systems with Applications 2, no. 4 (1991): 237–38. http://dx.doi.org/10.1016/0957-4174(91)90030-i.

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21

Sargeant, R. A. E. "Expert Systems for Process Control Rooms." Measurement and Control 19, no. 9 (1986): 239–44. http://dx.doi.org/10.1177/002029408601900902.

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An expert system is a computer software technique which is best (but not necessarily) implemented using languages and hardware systems from the artificial intelligence stable. The software technique offers the potential to encapsulate the experience and knowledge from many human experts and to effectively communicate it to other experts. The knowledge is mostly expressed in simple rules from which the expert system makes inferences that lead (to other rules and ultimately) to solutions to problems. The feasibility of building real time expert systems for applications in control rooms of proces

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22

Connell, Con, and J. Ross Quinlan. "Applications of Expert Systems." Journal of the Operational Research Society 40, no. 4 (1989): 402. http://dx.doi.org/10.2307/2583259.

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23

Connell, Con. "Applications of Expert Systems." Journal of the Operational Research Society 40, no. 4 (1989): 402–3. http://dx.doi.org/10.1057/jors.1989.61.

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24

Ruiz-Mezcua, B., A. Garcia-Crespo, J. L. Lopez-Cuadrado, and I. Gonzalez-Carrasco. "An expert system development tool for non AI experts." Expert Systems with Applications 38, no. 1 (2011): 597–609. http://dx.doi.org/10.1016/j.eswa.2010.07.009.

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25

Sadiku, Matthew N. O., Yonghui Wang, Suxia Cui, and Sarhan M. Musa. "EXPERT SYSTEMS: A PRIMER." International Journal of Advanced Research in Computer Science and Software Engineering 8, no. 6 (2018): 59. http://dx.doi.org/10.23956/ijarcsse.v8i6.614.

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Expert systems are one of the most exciting and promising applications of computers. An expert system (ES) is an intelligent computer system that contains an organized body of knowledge and emulates an expert problem solving skills. It is designed to emulate the decision-making ability of a human expert. This paper provides a primer on expert systems, their features, applications, benefits, and challenges.

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26

Sakr, K. M., and M. U. Hosain. "Applications of expert system building tools in structural design." Canadian Journal of Civil Engineering 18, no. 3 (1991): 493–503. http://dx.doi.org/10.1139/l91-060.

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This paper summarizes the basic concepts of expert systems and describes some of the applications of three commercially available expert system tools. The function of the various components of the tools is explained using simple design examples. It is concluded that a tool can be employed to develop useful expert systems for real-world applications, provided factual and heuristic material is available for creating a knowledge base. Key words: artificial intelligence, knowledge-based expert systems, knowledge base, inference mechanism, expert system building tools, structural design, applicatio

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27

Masivi, Osée Muhindo. "Fuzzy Expert System Generalised Model for Medical Applications." Applied Computer Systems 24, no. 2 (2019): 128–33. http://dx.doi.org/10.2478/acss-2019-0016.

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Abstract Over the past two decades an exponential growth of medical fuzzy expert systems has been observed. These systems address specific forms of medical and health problems resulting in differentiated models which are application dependent and may lack adaptability. This research proposes a generalized model encompassing major features in specialized existing fuzzy systems. Generalization modelling by design in which the major components of differentiated the system were identified and used as the components of the general model. The prototype shows that the proposed model allows medical ex

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28

Mills, S., C. Erbas, Y. Hurmuzlu, and M. M. Tanik. "Selection of Expert System Development Tools for Engineering Applications." Journal of Energy Resources Technology 114, no. 1 (1992): 38–45. http://dx.doi.org/10.1115/1.2905919.

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The problems associated with engineering tasks are often too large and complex for application of conventional software methods, but are suitable to application of expert system methods. Development of custom expert system applications is expensive and difficult, but expert system development tools provide the basic components needed to construct an expert system. Such tools enable engineers to implement expert system applications by entering knowledge specific to the particular problem they are attempting to solve. Because the choice of a development tool can determine the success of the resu

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29

Kishore, Ravi, and Allan Thomas. "Effectiveness index of expert system applications in agriculture." International Journal of Agriculture, Environment and Biotechnology 9, no. 1 (2016): 117. http://dx.doi.org/10.5958/2230-732x.2016.00018.8.

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30

Coursey, David H., and R. F. Shangraw. "Expert System Technology for Managerial Applications: A Typology." Public Productivity Review 12, no. 3 (1989): 237. http://dx.doi.org/10.2307/3380116.

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31

LINKO, PEKKA, and ROBERT J. AARTS. "Real-Time Expert System for Enzyme Engineering Applications." Annals of the New York Academy of Sciences 613, no. 1 Enzyme Engine (1990): 786–90. http://dx.doi.org/10.1111/j.1749-6632.1990.tb18265.x.

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32

Bradshaw, J. A., K. J. Carden, and D. Riordan. "Ecological applications using a novel expert system shell." Bioinformatics 7, no. 1 (1991): 79–83. http://dx.doi.org/10.1093/bioinformatics/7.1.79.

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33

Mohan, S., and N. Arumugam. "Expert system applications in irrigation management: an overview." Computers and Electronics in Agriculture 17, no. 3 (1997): 263–80. http://dx.doi.org/10.1016/s0168-1699(97)01309-4.

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34

Rao, U. Mohan, Y. R. Sood, and R. K. Jarial. "Subtractive Clustering Fuzzy Expert System for Engineering Applications." Procedia Computer Science 48 (2015): 77–83. http://dx.doi.org/10.1016/j.procs.2015.04.153.

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35

Allen, R. H., M. G. Boarnet, C. J. Culbert, and R. T. Savely. "Using hybrid expert system approaches for engineering applications." Engineering with Computers 2, no. 2 (1987): 95–110. http://dx.doi.org/10.1007/bf01213977.

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36

Dohnal, M. "Applications of a universal expert system in industry." Computers in Industry 6, no. 2 (1985): 115–21. http://dx.doi.org/10.1016/0166-3615(85)90017-x.

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37

Leung, K. S., W. S. Felix Wong, and W. Lam. "Applications of a novel fuzzy expert system shell." Expert Systems 6, no. 1 (1989): 2–10. http://dx.doi.org/10.1111/j.1468-0394.1989.tb00070.x.

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38

Ginsberg, D. W., and W. J. Whiten. "A Data Based Expert System for Engineering Applications." IFAC Proceedings Volumes 25, no. 17 (1992): 115–18. http://dx.doi.org/10.1016/b978-0-08-041704-2.50026-1.

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39

Sands, William A. "Kinesiological motion expert system." Computer Methods and Programs in Biomedicine 45, no. 4 (1994): 261–63. http://dx.doi.org/10.1016/0169-2607(94)01530-s.

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40

Bañares-Alcántara, R., A. W. Westerberg, E. I. Ko, and M. D. Rychener. "Decade—A hybrid expert system for catalyst selection—I. Expert system consideration." Computers & Chemical Engineering 11, no. 3 (1987): 265–77. http://dx.doi.org/10.1016/0098-1354(87)85008-1.

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41

Sapdana, Jenal, and Yunan Henryanto. "Implementation Expert System for Diagnosing Tuberculosis Using Dempster-Shafer Method." International Journal Software Engineering and Computer Science (IJSECS) 2, no. 1 (2022): 26–32. http://dx.doi.org/10.35870/ijsecs.v2i1.763.

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Tuberculosis (pulmonary TB) is still a frightening disease for the world community, especially in Indonesia. This expert system application for the diagnosis of Tuberculosis is a computerized system to assist doctors and the public in diagnosing Tuberculosis. Efforts that can be made are to provide the best information to patients or the public about Tuberculosis disease through consultation with experts or using expert system applications. So for this reason, an application is designed that can provide expert information about Tuberculosis as a substitute for an expert or doctor. The purpose

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42

Liu, Chen-Ching, and Tharam Dillon. "State-of-the-art of expert system applications to power systems." International Journal of Electrical Power & Energy Systems 14, no. 2-3 (1992): 86–96. http://dx.doi.org/10.1016/0142-0615(92)90031-4.

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43

Batarekh, Aïda, Alun D. Preece, Anne Bennett, and Peter Grogono. "Specifying an expert system." Expert Systems with Applications 2, no. 4 (1991): 285–303. http://dx.doi.org/10.1016/0957-4174(91)90036-e.

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44

Huse, S. M., and S. S. Shyne. "Nutrition advisor expert system." Expert Systems with Applications 4, no. 4 (1992): 423. http://dx.doi.org/10.1016/0957-4174(92)90136-g.

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45

Hao, Xuelong, Chen Wen, Ning Zhao, Lu Lu, Kai Zhang, and Donghui Zhang. "Prototype of an Expert System for the Selection of Aircraft Structural Materials." International Journal of Photoenergy 2020 (December 19, 2020): 1–7. http://dx.doi.org/10.1155/2020/8891541.

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Expert systems (ES) are widely used for engineering and manufacturing applications nowadays. In order to solve the problems in material selection in the aviation field, an aircraft material expert system (AMES) was developed. This expert system is based on the knowledge of multiple experts and aviation data. A decision support system (DSS) was designed for selecting the materials used in aviation fields. The flows of material selection were designed, and the models of AMES were established. A data base system was also designed to implement AMES.

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46

Soong, N., and A. Patel. "Wirability expert system." Computer-Aided Design 18, no. 9 (1986): 497–501. http://dx.doi.org/10.1016/0010-4485(86)90007-2.

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47

Dumbleton, John J. "Expert System Applications to Ocean Shipping—A Status Report." Marine Technology and SNAME News 27, no. 05 (1990): 265–84. http://dx.doi.org/10.5957/mt1.1990.27.5.265.

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Artificial intelligence has been emerging as one of the fastest growing technologies during the past five years. One subset of this discipline that has experienced phenomenal growth, when measured by spending levels by the commercial sector and all levels of government, is that of Expert Systems. The development of Expert Systems applications for shipping operations has also been growing, albeit at a somewhat slower rate. However, a number of very innovative systems are nearing completion in the United States, as well as in Europe and Asia, that will radically change how vessels are operated a

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48

Holman, J. G., and M. J. Cookson. "Expert systems for medical applications." Journal of Medical Engineering & Technology 11, no. 4 (1987): 151–59. http://dx.doi.org/10.3109/03091908709008986.

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49

LIEBOWITZ, JAY. "EXPERT SYSTEMS FOR BUSINESS APPLICATIONS." Applied Artificial Intelligence 1, no. 4 (1987): 307–13. http://dx.doi.org/10.1080/08839518708927977.

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50

Cory, B. J. "Expert systems for power applications." IEE Review 34, no. 4 (1988): 147. http://dx.doi.org/10.1049/ir:19880055.

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