Methodology of indistinct identification for identification of electronic traffic control systems
Abstract
This article contains development of an indistinct (fuzzy) methodology for identification of electronic systems, identification criteria form and a sample application of proposed methodology for evaluation of implementation impact of a centralized electronic traffic control system in LG. The proposed methodology performs solution of identification problem by the help of indistinct sets and expert evaluations. Therefore the intellect of an expert is treated as an instrument of measurement, which is used for evaluation of identification criteria. The identification of criteria in proposed methodology is performed in a trapezoid form of a membership function. Created methodology enables to evaluate influence of implementation of one or another electronic system and characterizes how good one or another decision alternative is suitable for evaluation needs, according to the formulated criteria of evaluation. The developed methodology was used for evaluation and analysis of implementation influence of a centralized traffic control system in LG, as dependence set of technical, social and other factors.
For citation
Svegzda O., Bagdonas V., Magyla T. Methodology of indistinct identification for identification of electronic traffic control systems // Journal of Radio Electronics. – 2002. – No. 3.
References
- Борисов А. Н. Принятие решений на основе нечетких моделей: Примеры использования. - Рига: Зинатне, 1990. - 184 с.
- Saaty T.L. Exploring the interface between hierarchies, multiple objectives and fuzzy sets // Fuzzy Sets and Systems. - 1978. - Vol.1. - p. 57-68.
- Chen CB, Klein CM. A simple approach to ranking a group of aggregated fuzzy utilities // IEEE transactions on systems man and cybernetics. Part B-Cybernetics, 1997. -Vol. 27, p. 26-35.
- Мелихов А.Н., Бернштейн Л.С., Коровин С.Л. Ситуационные советующие системы с нечеткой логикой. - М.: Наука, 1990. - 272 с.
- Захаров В.И., Ульянов С.В. Нечеткие модели интеллектуальных промышленных регуляторов и систем управления: Научно- организационные, технико-экономические и прикладные аспекты // Изв. РАН. Техническая кибернетика.- 1992. - N 5. - c. 171-196.
- Алиев Р.А., Мамедова Г.А. Идентификация и оптимальное управление нечеткими динамическими системами // Изв. АН: серия техническая кибернетика, № 6, 1993.
- Борисов А.Н., Крумберг О.А., Федоров И.П. Принятие решений на основе нечетких моделей: примеры использования // Рига, Зинатые, 1990, 184 с.
- Гаврилов А.Н., Пузикова Л.А., Пылькин А.И. Последовательная процедура принятия решений о состоянии канала связи на основе проверки нечетких гипотез // Изв. АН: серия техническая кибернетика, № 2, 1994.
- Dubois D, Land J, Prade H. Automated reasoning using probabilistic logic-semantics, belief revision, and variable certainty weights // IEEE transactions on knowledge and data engineering, 1994. -Vol. 6, p. 64-71.
- Захаров В.И., Ульянов С.В. Нечеткие модели интеллектуальных промышленных регуляторов и систем управления: Методология проектирования // Изв. РАН. Техническая кибернетика. - 1993. - N 5. - 197-216 c.
- Елисеев П.И. Интерпретация нечетких подмножеств в задачах моделирования и управления // Изв. АН: серия техническая кибернетика, № 3, 1992.
- Walley P. Measures of uncertainty in expert systems // Artificial intelligence, 1996,Vol. 83 (1), p. 1-58.
- Magyla T. Evaluation of Ebilock 950 Interlocking System Implementation by Using Analytic Hierarchy Process // TRANSPORTAS (Transport engineering). Vilnius: Technika, 2001, Vol. XVI, No.5, p. 131-137.
- Henrion M, Breese JS, Horvitz EJ. Decision-analysis and expert systems // AI magazine, 1991. -Vol. 12, p. 64-91.
- Саати Т. Принятие решений. Метод анализа иерархий / Пер. с англ.- М.: Радио и связь, 1993. - 315 с.
- Грунина Г.С., Деменков Н.П. Программный комплекс для проектирования нечеткого логического регулятора // Приборы и системы управления. - 1997. - N 8. - c. 19-21.
- Legarth J.B. Environmental Decision Making for Recycling Options // R&C and Recycling, 1997, vol.17, p. 109-135.
- Magyla T. Building an expert system for railways automation // Elektronika ir elektrotechnika. Kaunas: Technology, 2001.-Nr.4(33). p.68-71.
- Dias OP. Ranking alternatives using fuzzy numbers- a computational approach // Fuzzy sets and systems, 1993, Vol. 56, p. 247-252.
- Teng JY, Tzeng GH. Transportation investment project selection using fuzzy multiobjective programming // Fuzzy sets and systems, 1998, Vol. 96, p. 259-280.
- Magyla T., Svegzda O. The Methodology of Group Expert Evaluation. РАДИОЭЛЕКТРОНИКА, ЭЛЕКТРОТЕХНИКА И ЭНЕРГЕТИКА // Восьмая Междунар. науч. tехн. конф студентов и аспирантов. Тез. докл. В 3-х т. М.: Издательство МЭИ, 2002. Т. 1. 254-255 c.
- Magyla T., Stadalius R. Automatines blokuotes efektyvumo tyrimai // Elektronika-2000: tarptautines konferencijos moksliniai pranesimai. Kaunas: Technologija, 2000, p. 87-88.
- V. Bagdonas, M. Raila. Application of pragmatic Criteria to the Information Systems Structure // Information Technology and Control, Kaunas, No.1 (18), 2001, p. 60-65.
- Finan JS, Hurley WJ.The analytic hierarchy process: Does adjusting a pair-wise comparison matrix to improve the consistency ratio help? // Computers & Operations Research, 1997,Vol.24, p.749-755.
- Dubois D, Land J, Prade H. Automated reasoning using probabilistic logic-semantics, belief revision, and variable certainty weights // IEEE transactions on knowledge and data engineering, 1994, Vol. 6, p. 64-71.
- Clemen R T. Naturalistic decision-making and decision analysis // Journal of behavioral decision making, 2001, Vol.14 (5), p. 359-361.
- Koyanaka S., Ohya H., Endoh S., Iwata H., Diltl P. Recovering Copper from Electric Cable Wastes Using a Particle Shape Separation Technique. Advanced Powder Technology 1997, Vol. 8 (2), p. 103-111.
- Yue Ye, Kai J., Hong C.Z., Ling F., Barnes D. A decision-making model for materials management of end-of-life electronic products. Journal of Manufacturing Systems; Dearborn; 2000, Vol. 19, p. 94-107.
- EbiScreen system specification. Project A contract documents. LG project A for supply and installation of signaling equipment, 2000. p. 3-84.
- Chen SJ, Hwang CL, Hwang FP. Fuzzy multiple attribute decision-making - methods and applications //Lecture notes in economics and mathematical systems. Springer Verlag, New York, 1992, p. 1-531.
- Carnahan JV, Thurston DL, Liu T. Fuzzing ratings for multi-attribute design decision-making // Journal of mechanical design, 1994, Vol.116 (2), p. 511-521.
- Ralescu DA, Sugeno M. Fuzzy integral representation // Fuzzy sets and systems, 1996. -Vol. 84 920, p. 127-133.
- Dubois D, Marichal JL, Prade H, Roubens M, Sabbadin R. The use of the discrete Sugeno integral in decision-making: A survey // International journal of uncertainty fuzziness and knowledge-based systems, 2001, Vol. 9, p. 539-561.