{"title":"Half-Circle Fuzzy Number Threshold Determination via Swarm Intelligence Method","authors":"P.-W. Tsai, J.-W. Chen, C.-W. Chen, C.-Y. Chen","volume":89,"journal":"International Journal of Mechanical and Mechatronics Engineering","pagesStart":901,"pagesEnd":905,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/9998956","abstract":"
In recent years, many researchers are involved in the
\r\nfield of fuzzy theory. However, there are still a lot of issues to be
\r\nresolved. Especially on topics related to controller design such as the
\r\nfield of robot, artificial intelligence, and nonlinear systems etc.
\r\nBesides fuzzy theory, algorithms in swarm intelligence are also a
\r\npopular field for the researchers. In this paper, a concept of utilizing
\r\none of the swarm intelligence method, which is called Bacterial-GA
\r\nForaging, to find the stabilized common P matrix for the fuzzy
\r\ncontroller system is proposed. An example is given in in the paper, as
\r\nwell.<\/p>\r\n","references":"[1] A. Bogomolny, \"On the perimeter and area of fuzzy sets, Fuzzy Sets and\r\nSystems,\u201d vol. 23, 1987, pp. 257-269.\r\n[2] P.J.M. van Laarhoven and W. Perdrycz, \"A fuzzy Extension of Saaty\r\npriority theory,\u201d Fuzzy Set and Systems, vol. 11, 1983, pp. 229-241.\r\n[3] D. Dubois and H. Prade, \"Fuzzy Sets and Systems: Theory and\r\nApplications,\u201d Academic Press, New York 1980.\r\n[4] H. J. Zimmermann, Fuzzy Sets, Decision Making and Expert Systems,\r\n(1991) Boston: Kluwer Academic Publisher.\r\n[5] H. J. Zimmermann., Fuzzy Set Theory and Its Applications, (1991)\r\nKluwer, Dordrecht.\r\n[6] C. Y. Chen, W. I. Lee, Y. C. Sui, and C. W. Chen, \"Applying half-circle\r\nfuzzy numbers to control system: a preliminary study on development of\r\nintelligent system on marine environment and engineering,\u201d World\r\nAcademy of Science, Engineering and Technology, vol. 72, 2010, pp.\r\n204-209.\r\n[7] F.H. Hsiao, W.L. Chiang, C.W. Chen, S.D. 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