{"id":2006,"date":"2020-01-24T12:24:53","date_gmt":"2020-01-24T17:24:53","guid":{"rendered":"https:\/\/ise.ncsu.edu\/fuzzy-neural\/?page_id=2006"},"modified":"2020-01-27T13:39:29","modified_gmt":"2020-01-27T18:39:29","slug":"bibliographies","status":"publish","type":"page","link":"https:\/\/ise.ncsu.edu\/fuzzy-neural\/bibliographies\/","title":{"rendered":"Bibliographies"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">Bibliographies<\/h2>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>This bibliography contains the publications which have been discussed by the FANGroup. The contents of this bibliography is updated on a weekly basis.<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">Fundamentals of Fuzzy Sets Theory:<\/h3>\n\n\n\n<p>Zadeh, L. A., \u201cFuzzy Set,\u201d Inf. Contr., 8 (1965), pp.338\u2013353.<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">A fundamental paper on fuzzy set:<\/h3>\n\n\n\n<p>Zadeh, L. A., \u201cOutline of a New Approach to The Analysis of Complex Systems and Decision Process,\u201d IEEE Transactions on Systems, Man and Cybernetics, SME-3, 1, Jan (1973), pp.28\u201344.<\/p>\n\n\n\n<p>Gurocak, H. B. and Sam Lazaro, A. de, \u201cA Fine Tuning Method for Fuzzy Logic Rule Bases,\u201d Fuzzy Sets and Systems, 67 (1994), pp.147\u2013161.<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">Fuzzy Control:<\/h3>\n\n\n\n<p>Lee C. C., \u201cFuzzy Logic in Control Systems: Fuzzy Logic Controller \u2014 Part I,\u201d IEEE Transactions on Systems, Man and Cybernetics, Vol. 20, No. 2, Mar\/Apr (1990), pp.404\u2013418.<\/p>\n\n\n\n<p>Lee C. C., \u201cFuzzy Logic in Control Systems: Fuzzy Logic Controller, Part II,\u201d IEEE Transactions on Systems, Man and Cybernetics, Vol. 20, No. 2, Mar\/Apr (1990), pp.419\u2013435.<\/p>\n\n\n\n<p>Munakata, T. and Jani, Y., \u201cFuzzy Systems: An Overview,\u201d Communications of the ACM, Vol. 37, No. 3, Mar (1994), pp.69\u201376.<\/p>\n\n\n\n<p>Douligeris, C. and Develekos, G., \u201cA Fuzzy Logic Approach to Congestion Control in ATM Networks,\u201d IEEE, (1995), pp.1969\u20131973.<\/p>\n\n\n\n<p>Khalfet, J. and Chemouil, P., \u201cApplication of Fuzzy Control to Adaptive Traffic Routing in Telephone Networks,\u201d Information and Decision Technologies, 19, (1994), pp.339\u2013348.<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">Genetic Algorithms:<\/h3>\n\n\n\n<p>Kiszka, J. B., Gupta, M. M. and Nikiforuk, P. N., \u201cEnergistic Stability of Fuzzy Dynamic Systems,\u201d IEEE Transactions on Systems, Man and Cybernetics, 15 (1985), pp.783\u2013796.<\/p>\n\n\n\n<p>Tanaka, K. and Sugeno, M., \u201cStability Analysis of Fuzzy Control Systems Using Lyapunov\u2019s direct Methods,\u201d International Proceedings of NAFIPS\u2019 90, 1990, pp.133\u2013136.<\/p>\n\n\n\n<p>Goldberg, D. E., \u201cGenetic and Evolutionary Algorithms Come of Age,\u201d Communications of the ACM, 37, 3, Mar (1994).<\/p>\n\n\n\n<p>Whitley, D., \u201cA Genetic Algoriths Tutorial,\u201d Technical Report.<\/p>\n\n\n\n<p>Houck, C. R., Joines, J. A. and Kay, M. G. \u201cA Genetic Algorithm for Function Optimization: A MATLAB Implementation,\u201d Technical Report, submitted for publication.<\/p>\n\n\n\n<p>Joines, J. A., Culbreth, C. T. and King, R. E. \u201cManufacturing Cell Design: AN Integer Programming Model Employing Genetic Algorithms,\u201d Nov. (1995), Technical Report, to appear in IIE Transactions.<\/p>\n\n\n\n<p>Houck, C. R., Joines, J. A. and Kay, M. G. \u201cComparisons of Genetic Algorithms, Random Restart, and Two-Opt Switching for Solving Large Location-Allocation Problems,\u201d to appear in Computers Ops Res, (1996).<\/p>\n\n\n\n<p>Lee, M. R. and Takagi, H., \u201cDynamic Control of of Genetic Algorithms using Fuzzy Logic Techniques,\u201d ICGA, (1993), pp.76\u201383.<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">Fuzzy Linear Programming:<\/h3>\n\n\n\n<p>Zimmermann H.-J., \u201cDescription and Optimization of Fuzzy System,\u201d Int. J. General Systems, Vol.2, (1976), pp.209\u2013215.<\/p>\n\n\n\n<p>Chuang P.-H. and Munro J., \u201cLinear Programming with Imprecise Data,\u201d Civil Engineering Systems, 1 (1983), pp.37\u201341.<\/p>\n\n\n\n<p>Garcia-Aguado, C., \u201cOn the Sensitivity of Membership Functions for Fuzzy Linear Programming Problems,\u201d FSS, 11 (1983), pp.47\u201349.<\/p>\n\n\n\n<p>Kikuchi, S., Vukasinovi\u2019c, N. and Easa, S. M., \u201cCharacteristics of the Fuzzy LP Transportation Problem for Civil Engineering Application,\u201d Civil Engineering Systems, v8 n3, Sep (1991), pp.134\u2013144.<\/p>\n\n\n\n<p>Chanas, S., \u201cThe Use of Parametric Programming in Fuzzy Linear Programming,\u201d Fuzzy Sets and Systems, 56 (1993), pp.243-251.<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">Artificial Neural Network:<\/h3>\n\n\n\n<p>Hopfield, J. J., \u201cNeural Networks and Physical Systems with Emergent Collective Computational Abilities,\u201d Proceedings of the National Academy of Sciences of the U.S.A., 79, Apr (1982), pp.2554\u20132558.<\/p>\n\n\n\n<p>Hopfield, J. J., \u201cNeurons with Graded Response Have Collective Computational Properties like Those of Two-state Neurons,\u201d Proceedings of the National Academy of Sciences of the U.S.A., 81, May (1984), pp.3088\u20133092.<\/p>\n\n\n\n<p>Lippmann, R. P., \u201cAn Introduction to Computing with Neural Nets,\u201d IEEE ASSP Magazine, Apr (1987), pp.4\u201322. ( An introductory paper, more on the technical aspect.)<\/p>\n\n\n\n<p>Masson, E. and Wang, Y.-J., \u201cIntroduction to Computation and Learning in Artificial Neural Networks,\u201d European Journal of Operational Research, 47 (1990), pp.1\u201328. (An introductory paper with six typical NN models.)<\/p>\n\n\n\n<p>Schiffmann, W., Joost, M. and Werner, R., \u201cOptimization of the Backpropagation Algorithm for Training Multilayer Perceptrons,\u201d Technical Report.<\/p>\n\n\n\n<p>Schiffmann, W., Joost, M. and Werner, R., \u201cSynthesis and Performance Analysis of Multilayer Neural Network Architectures,\u201d Technical Report 16\/1992.<\/p>\n\n\n\n<p>Buckley, J. J. and Hayashi, Y., \u201cFuzzy Neural Network: A survey,\u201d Fuzzy Sets and Systems, 66 (1994), pp.1\u201313 <\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Bibliographies This bibliography contains the publications which have been discussed by the FANGroup. The contents of this bibliography is updated on a weekly basis. Fundamentals&#8230;<\/p>\n","protected":false},"author":380,"featured_media":0,"parent":0,"menu_order":7,"comment_status":"closed","ping_status":"closed","template":"page-landing.php","meta":{"_acf_changed":false,"ngg_post_thumbnail":0,"footnotes":""},"class_list":["post-2006","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Bibliographies - The Fuzzy-Neural Group<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ise.ncsu.edu\/fuzzy-neural\/bibliographies\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Bibliographies - The Fuzzy-Neural Group\" \/>\n<meta property=\"og:description\" content=\"Bibliographies This bibliography contains the publications which have been discussed by the FANGroup. 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