Commenced in January 2007
Paper Count: 30075
Roll of Membership functions in Fuzzy Logic for Prediction of Shoot Length of Mustard Plant Based on Residual Analysis
Abstract:The selection for plantation of a particular type of mustard plant depending on its productivity (pod yield) at the stage of maturity. The growth of mustard plant dependent on some parameters of that plant, these are shoot length, number of leaves, number of roots and roots length etc. As the plant is growing, some leaves may be fall down and some new leaves may come, so it can not gives the idea to develop the relationship with the seeds weight at mature stage of that plant. It is not possible to find the number of roots and root length of mustard plant at growing stage that will be harmful of this plant as roots goes deeper to deeper inside the land. Only the value of shoot length which increases in course of time can be measured at different time instances. Weather parameters are maximum and minimum humidity, rain fall, maximum and minimum temperature may effect the growth of the plant. The parameters of pollution, water, soil, distance and crop management may be dominant factors of growth of plant and its productivity. Considering all parameters, the growth of the plant is very uncertain, fuzzy environment can be considered for the prediction of shoot length at maturity of the plant. Fuzzification plays a greater role for fuzzification of data, which is based on certain membership functions. Here an effort has been made to fuzzify the original data based on gaussian function, triangular function, s-function, Trapezoidal and L –function. After that all fuzzified data are defuzzified to get normal form. Finally the error analysis (calculation of forecasting error and average error) indicates the membership function appropriate for fuzzification of data and use to predict the shoot length at maturity. The result is also verified using residual (Absolute Residual, Maximum of Absolute Residual, Mean Absolute Residual, Mean of Mean Absolute Residual, Median of Absolute Residual and Standard Deviation) analysis.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1080798Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1968
 Q. Song and B. S. Chissom, "Forecasting enrollments with fuzzy time series part I", Fuzzy Sets and Systems 54(1993) 1 - 9.
 J. Sullivan and William H. Woodall, "A Comparison of Fuzzy Forecasting and Markov Modelling", Fuzzy Sets and Systems 64(1994) 279 - 293.
 Q. Song and B. S. Chissom, "Fuzzy Time Series and its Models", Fuzzy Sets and Systems 54(1993) 269-277.
 H. Bintley, "Time Series analysis with Reveal", Fuzzy Sets and Systems 23(1987) 97-118.
 Q. Song and B. S. Chissom, "Forecasting enrollments with fuzzy time series - part II", Fuzzy Sets and Systems 62(1994) 1-8.
 G. A. Tagliarini, J. F. Christ, E. W. Page, "Optimization using Neural Networks, IEEE Transactions on Computers. vol. 40. no 12. December ÔÇÿ91 1347-1358
 T. K. Bhattacharya and T. K. Basu, "Medium range forecasting of power system load using modified Kalman filter and Walsch transform", Electric Power and Energy Systems", vol. 15, no 2, 109 -115, 1993.
 F. G. Donaldson and M. Kamstra, "Forecast combining with Neural Networks", Journal of Forecasting 15(1996) 49-61.
 J. V. Hansen and Ray D. Nelson, "Neural Networks and Traditional Time Series Methods: A Synergistic combination in state Economic Forecasts", IEEE Transactions on Neural Networks vol. 8, no 4, July 1997.
 S. F. Brown, A. J. Branford, W. Moran, "On the use of Artificial Neural Networks for the analysis of Survival Data", IEEE Transactions on Neural Networks, vol. 8, no 5, Sept. 1997.
 M. Sugeno and K. Tanaka, "Successive Identification of a Fuzzy Model and its applications to prediction of a complex system", Fuzzy Sets and Systems 42(1991) 315-334.
 L. Zuoyong, Chen Zhenpei, Li Jitao, "A model of Weather Forecast by Fuzzy Grade Statistics", Fuzzy Sets and Systems 26(1998) 275-281.
 L. feng and Xu Xia Guang, "A Forecasting Model of Fuzzy Self Regression", Fuzzy Sets and Systems 58(1993) 239-242.
 M. Ishikawa, T. Moriyama, "Prediction of Time Series by a Structural Learning of Neural Networks", Fuzzy Sets and Systems 82(1996) 167- 176.
 D.H.Goldberg, "Genetic Algorithms in Search, Optimization and Machine Learning", Addison Wesley Inc, 1999.
 J. Paul Choudhury, Dr. Bijan Sarkar and Prof. S. K. Mukherjee, "Some Issues in building a Fuzzy Neural Network based Framework for forecasting Engineering Manpower", Proceedings of 34th Annual Convention of Computer Society of India, Mumbai, pp. 213-227, October -November 1999.
 J. Paul Choudhury, Dr. Bijan Sarkar and Prof. S. K. Mukherjee, "Rule Base of a Fuzzy Expert Selection System", Proceedings of 34th Annual Convention of Computer Society of India, Mumbai, pp. 98-104, October -November 1999.
 J. Paul Choudhury, Dr. Bijan Sarkar and Prof. S. K. Mukherjee, "A Fuzzy Time Series based Framework in the Forecasting Engineering Manpower in comparison to Markov Modeling", Proceedings of Seminar on Information Technology, The Institution of Engineers(India), Computer Engineering Division, West Bengal State Center, Calcutta, pp. 39-45, March 2000.
 G. P. Bansal, A. Jain, A. K. Tiwari and P. K. Chanda, "Optimization in the operation of Process Plant through Genetic Programming", IETE Journal of Research, vol 46, no 4, July-August 2000, pp 251-260.
 K. K. Shukla, Neuro-genetic prediction of Software Development Effort", Information and Software Technology 42(2000), pp 701-713.
 S. Bandyopadhaya and U. Maulik, "An Improved Evolutionary Algorithm as Function Optimizer", IETE Journal of Research, vol 46, no 1 and 2, pp 47-56, 2000.
 B. Banerjee, A. Konar and S. Mukhopadhayay, " A Neuro-G.A approach for the Navigational Planning of a Mobile Robot", Proceedings of International Conference on Communication, Computers and Devices(ICCD-2000), Department of Electronics and Electrical Engineering, Indian Institute of Technology, Kharagpur, December 2000, pp 625-628.
 J. Paul Choudhury, Dr. Bijan Sarkar and Prof. S. K. Mukherjee, "Forecasting using Time Series Model Direct Method in comparison to Indirect Method", Proceedings of International Conference on Communication, Computers and Devices(ICCD-2000), Department of Electronics and Electrical Engineering, Indian Institute of Technology, Kharagpur, December 2000, pp 655-658.
 G. W. Snedecor and W.G.Cochran, "Statistical Methods", eight edition, East Press, 1994.
 Dr. J. Paul Choudhury, Satyendra Nath Mandal, Prof Dilip Dey, Prof. S. K. Mukherjee, Bayesian Learning versus Neural Learning : towards prediction of Pod Yield", Proceedings of National Seminar on Recent advances on Information Technology(RAIT-2007), Department of Computer Science and Engineering, Indian School of Mines University, Dhanbad, India , pp 298-313, February 2007.
 Dr. J. Paul Choudhury, Satyendra Nath Mandal, Prof. S. K. Mukherjee, "Shoot Length Growth Prediction of Paddy Plant using Neural Fuzzy Model", Proceedings of National Conference on Cutting Edge Technologies in Power Conversion & Industrial Drives PCID, Department of Electrical and Electronics Engineering , Bannari Amman Institute of Technology.
 J. Paul Choudhury, Satyendra Nath Mandal, Prof Dilip Dey, Prof. S. K. Mukherjee, "Soft Computing model: towords the forecasting of pod yield as compared to Statistical Model", International Conference on Information Technology , Haldia,March 2007.
 Satyendra Nath Mandal, J. Paul Choudhury, Prof Dilip Dey, Prof. S. R . Bhadra Chaudhuri ," Growth Estimation With Artificial Neural Network Considering Weather parameters Using factor and Principal Component Analysis", CD Proceeding , 10th International Conference on Information Technology,17-20 December, 2007,Rourkela,India.
 Satyendra Nath Mandal, J. Paul Choudhury, Prof Dilip Dey, Prof. S. R . Bhadra Chaudhuri ," Growth Estimation With simulated Annealing Considering Weather parameters Using factor and Principal Component Analysis", Proceeding National Conference on Methods and Models in Computing (NCM2C 2007),pp184-197,JNU, New Delhi, India.
 Satyendra Nath Mandal, J. Paul Choudhury, Prof Dilip Dey, Prof. S. R. Bhadra Chaudhuri ," A Frame Work for the Development of a Suitable Method to Find Shoot Length at Maturity of Mustard Plant Using Soft Computing Model", publish in "International Journal of Computer Science & Engg.", Vol2. No.3, 2008.
 Thierry Denoeux, Member, IEEE, and Marie-Hélène Masson,"Principal Component Analysis of Fuzzy Data Using Autoassociative Neural Networks", pp336-349, IEEE Transactions on Fuzzy Systems, Vol. 12, No. 3, June 2004.
 P. Kiatgajorm, W. Khan-ngern and S.Nitta ,"The Comparison of Electric Field Effect Intensity Affects to the Bean Sprouts Growing ", publish by "Asia -Pacific Conference on Environmenttal Electromagneties CEEM-2003",Nov.4-7,2003, Hangzhou, China.