A decision support system for wool classification

• Autorzy: Dlodlo, N. , Hunter, L. , Cele, C. , Botha, A. F. , Metelerkamp, R.
• Języki publikacji: EN

Abstrakty

EN

This paper presents the concepts and development of an intelligent system that integrates both a decision support system (DSS) and an expert system (ES) to provide guidance to the decision-maker during the wool grading and classification process. Although uniformity of wool grading can be achieved easily on the basis of quantifiable characteristics such as fibre diameter, staple length and strength, and vegetable matter and content by using an expert system, some other characteristics which are not quantifiable such as the type of vegetable matter, the weathering of the fibre, crimp definition, matting of the fibre and the appearance of the wool have to be judged through the eyes of the human expert. It is for this reason that the intelligent system incorporates the additional component of a decision support system to enable the human component to come into play.

Słowa kluczowe

PL

system wspomagania decyzji; system ekspercki; klasyfikacja wełny

EN

decision support system; expert system; wool classification

• Czasopismo: Autex Research Journal
• Rocznik: 2009
• Tom: Vol. 9, no. 2
• Strony: 42--46
• Opis fizyczny: Bibliogr. 29 poz., wykr.

Twórcy

autor

Dlodlo, N.

• National University of Science and Technology, Box AC 939, Ascot, Bulawayo, Zimbabwe, Telephone: [phone]/ 289256, Fax: [phone],
• Council for Scientific and Industrial Research, National Fibre, Textile and Clothing Centre, Box 1124, Gomery Avenue, Summerstrand, Port Elizabeth, South Africa 6000, Telephone: [phone], Fax: [phone]

autor

Hunter, L.

• Nelson Mandela Metropolitan University P.O. Box 7700, Port Elizabeth, South Africa 6003 Tel: [phone], Fax: [phone],
• Council for Scientific and Industrial Research, National Fibre, Textile and Clothing Centre, Box 1124, Gomery Avenue, Summerstrand, Port Elizabeth, South Africa 6000, Telephone: [phone], Fax: [phone]

autor

Cele, C.

• Council for Scientific and Industrial Research, National Fibre, Textile and Clothing Centre, Box 1124, Gomery Avenue, Summerstrand, Port Elizabeth, South Africa 6000, Telephone: [phone], Fax: [phone],

autor

Botha, A. F.

• Council for Scientific and Industrial Research, National Fibre, Textile and Clothing Centre, Box 1124, Gomery Avenue, Summerstrand, Port Elizabeth, South Africa 6000, Telephone: [phone], Fax: [phone],

autor

Metelerkamp, R.

• Council for Scientific and Industrial Research, National Fibre, Textile and Clothing Centre, Box 1124, Gomery Avenue, Summerstrand, Port Elizabeth, South Africa 6000, Telephone: [phone], Fax: [phone],

Bibliografia

• 1. Buchanan, B., Smith, R., Fundamentals of expert systems, Annual review of computer science 3, 1988, pp. 23-58.
• 2. Chan, C.W., An expert decision support system for monitoring and diagnosis of petroleum production and separation process, Expert systems with applications, 29, 2005, pp. 131-143.
• 3. Chan, F.T.S., Au, K.C., Chan, P.L.Y., A decision support system for production scheduling in an ion plating cell, Expert systems with applications, 30, 2006, pp. 727-738.
• 4. Classing standards, Cape Wools South Africa, www.capewools.co.za, 2002.
• 5. Finlay, P.N., Introducing decision support systems, Blackwell publishers, U.K., 1994.
• 6. Georgilakis, P.S., Decision support system for evaluating transformer investments in the industrial sector, Journals of materials processing technology , 181, 2007.
• 7. Gregg, D.G., Walczak, S., Auction advisor: an agent-based online auction decision support system, Decision support systems, 41, 2006, pp. 449-471.
• 8. Ioannou, G., Mavri, M., Performance-net: a decision support system for reconfiguring a bank’s branch network, Omega, 35, 2007, pp. 190-201.
• 9. Jackson, P., Introduction to expert systems, Addison-Wesley, 1986.
• 10. Jonker, J., Piersma, N., Potharst, R., A decision support system for direct mailing decisions, Decision support systems, 42, 2006, pp. 915-925.
• 11. Juan, Y., Shi, S., Perng, Y., Decision support for housing customisation: a hybrid approach using case-based reasoning and genetic algorithms, Expert systems with applications, 31, 2006, pp. 83-93.
• 12. Lim, L.L., Hughes, S.J., Hellawell, E. E., Integrated decision support system for urban air quality assessment, Environmental modelling and software, 20, 2005, pp. 947-954.
• 13. Mahdi, I.M., Alreshaid, K., Decision support system for selecting the proper project delivery method using analytical hierarchy process (AHP), International journal of project management, 23, 2005, pp. 564-572.
• 14. Mangamalampalli, A., Mangamalampalli, S.M., Chakravarthy, R., Jain, A.J., A neural network based clinical decision support system for efficient diagnosis and fuzzy-based prescription of gynaecological diseases using homeopathic medicinal system, Expert systems with applications, 30, 2006, pp. 109-116.
• 15. Mysiak, J., Giupponi, C., Rosato, P., Towards the development of a decision support system for water resource management, Environemntal modelling and software, 20, 2005, pp. 203-214.
• 16. Narasimhan, R., Talluri, S., Sarkis, J., Ross, A., Efficient service location design in government services: a decision support system framework, Journal of operations management, 23, 2005, pp. 163-178.
• 17. Papamichail, K.N., French, S., Design and evaluation of an intelligent decision support for nuclear emergencies, Decision support systems, 41, 2005, pp. 84-111.
• 18. Pomar, J., Pomar, C., A knowledge-based decision support system to improve sow farm productivity , Expert systems with applications, 29, 2005, pp. 33-40.
• 19. Rosille, D., Laurent, J., Burgun, A., Modelling a decision support system for oncology using rule-based and case reasoning methodologies, International Journal of Medical Informatics, 74, 2005, pp. 299-306.
• 20. Silva, C., Roque, L., Almeida, A., MAPP - a web-cased decision support system for themould industry, Decision support systems, 42, 2006, pp. 999-1014.
• 21. Sprague Jr, R.H., Carlson, E.D., Building effective DSS, Prentice Hall, Englewood Cliffs, New Jersey, 1982.
• 22. Tan, K.H., Lim, C.P., Platts, K., Koay, H.S., An intelligent decision support system for manufacturing technology investments, International journal of production economics, 104, 2006, pp. 179-190.
• 23. Thyse, I., Delefsen, N.K., Online decision support for irrigation for farmers, Agricultural water management, 2006.
• 24. Turban, E., Decision support and experts systems: management support systems, Englewood Cliffs, New Jersey, Prentice Hall, 1995.
• 25. Turban, E., Watson, H., Integrating expert systems and decision support systems, Management Information Systems Quarterly, 1986, pp. 121-136.
• 26. Ulengin, F., Onsel, S., Topcu, Y.I., Aktas, E., Kabak, O., An integrated transportation decision support system for transportation policy decisions: the case of Turkey, Transportation Research Part A, 41, 2007, pp. 80-97.
• 27. Wang, W.K., A knowledge-based decision support system for measuring the performance of government real estate investment, Expert systems with applications, 29, 2005, pp. 901-912.
• 28. Wen, W., Wang, W.K., Wang, T.H., A hybrid knowledge-based decision support system for enterprise mergers and acquisitions, Expert systems with applications, 28, 2005, pp. 569-582.
• 29. Xu, L., Li, Z., Li, S., Tang, F., A decision support system for product design in concurrent engineering, Decision support systems, 2004.