Recent Trends and Applications of Fuzzy Logic

[1]  Shyi-Ming Chen,et al.  FORECASTING ENROLLMENTS BASED ON HIGH-ORDER FUZZY TIME SERIES , 2002, Cybern. Syst..

[2]  Lotfi A. Zadeh,et al.  Outline of a New Approach to the Analysis of Complex Systems and Decision Processes , 1973, IEEE Trans. Syst. Man Cybern..

[3]  Dinesh C. S. Bisht,et al.  Prediction of Water Table Elevation Fluctuation through Fuzzy Logic & Artificial Neural Networks , 2013 .

[4]  Ronald R. Yager,et al.  General Multiple-Objective Decision Functions and Linguistically Quantified Statements , 1984, Int. J. Man Mach. Stud..

[5]  A. H. Murphy,et al.  Time Series Models to Simulate and Forecast Wind Speed and Wind Power , 1984 .

[6]  Chin-Sheng Chen,et al.  Applications of fuzzy classification with fuzzy c-means clustering and optimization strategies for load identification in NILM systems , 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

[7]  C. Granger Some properties of time series data and their use in econometric model specification , 1981 .

[8]  Richard Bellman,et al.  Decision-making in fuzzy environment , 2012 .

[9]  Jyh-Shing Roger Jang,et al.  ANFIS: adaptive-network-based fuzzy inference system , 1993, IEEE Trans. Syst. Man Cybern..

[10]  Erol Egrioglu,et al.  An ARMA Type Fuzzy Time Series Forecasting Method Based on Particle Swarm Optimization , 2013 .

[11]  Dinesh C. S. Bisht,et al.  A unique conversion approach clubbed with a new ranking technique to optimize fuzzy transportation cost , 2017 .

[12]  Phool Singh,et al.  Real coded genetic algorithm for fuzzy time series prediction , 2017 .

[13]  B. Chissom,et al.  Forecasting enrollments with fuzzy time series—part II , 1993 .

[14]  Elif Derya Übeyli,et al.  Adaptive neuro-fuzzy inference system for classification of EEG signals using wavelet coefficients , 2005, Journal of Neuroscience Methods.

[15]  Dinesh C. S. Bisht,et al.  Stochastic Analysis of Wind Energy for Wind Pump Irrigation in Coastal Andhra Pradesh, India , 2014 .

[16]  Lazim Abdullah,et al.  Centroid-Point of Ranking Fuzzy Numbers and Its Application to Health Related Quality of Life Indicators , 2010 .

[17]  Mingcang Zhu,et al.  Housing price forecasting based on genetic algorithm and support vector machine , 2011, Expert Syst. Appl..

[18]  Kyoung-jae Kim,et al.  Financial time series forecasting using support vector machines , 2003, Neurocomputing.

[19]  R. Yager,et al.  FUZMAR: an approach to aggregating market research data based on fuzzy reasoning , 1994 .

[20]  George Sugihara,et al.  Nonlinear forecasting as a way of distinguishing chaos from measurement error in time series , 1990, Nature.

[21]  Robert Babuska,et al.  Fuzzy model-based predictive control using Takagi-Sugeno models , 1999, Int. J. Approx. Reason..

[22]  Barnali M. Dixon,et al.  Applicability of neuro-fuzzy techniques in predicting ground-water vulnerability: a GIS-based sensitivity analysis , 2005 .

[23]  Mangey Ram,et al.  Role of Fuzzy Logic in Flexible Manufacturing System , 2018 .

[24]  Paul A. Fishwick,et al.  Time series forecasting using neural networks vs. Box- Jenkins methodology , 1991, Simul..

[25]  Hamid Reza Karimi,et al.  Robust Observer Design for Unknown Inputs Takagi–Sugeno Models , 2013, IEEE Transactions on Fuzzy Systems.

[26]  J. Geweke,et al.  THE ESTIMATION AND APPLICATION OF LONG MEMORY TIME SERIES MODELS , 1983 .

[27]  Niraj Singhal,et al.  Advice Generation using Fuzzy Logic in OMR Pheonix Technique , 2012 .

[28]  Mascha C. van der Voort,et al.  Combining kohonen maps with arima time series models to forecast traffic flow , 1996 .

[29]  Shyi-Ming Chen,et al.  Handling forecasting problems using fuzzy time series , 1998, Fuzzy Sets Syst..

[30]  Enrique H. Ruspini,et al.  Numerical methods for fuzzy clustering , 1970, Inf. Sci..

[31]  Shyi-Ming Chen,et al.  Forecasting enrollments of students by using fuzzy time series and genetic algorithms , 2006 .

[32]  Shyi-Ming Chen,et al.  Temperature prediction and TAIFEX forecasting based on automatic clustering techniques and two-factors high-order fuzzy time series , 2009, Expert Syst. Appl..

[33]  Nirbhay Mathur,et al.  Trapezoidal fuzzy model to optimize transportation problem , 2016, Int. J. Model. Simul. Sci. Comput..

[34]  Shi-Jinn Horng,et al.  Temperature prediction and TAIFEX forecasting based on fuzzy relationships and MTPSO techniques , 2010, Expert Syst. Appl..

[35]  Nirbhay Mathur,et al.  Algorithms for solving fuzzy transportation problem , 2018, Int. J. Math. Oper. Res..

[36]  Pao-Long Chang,et al.  A fuzzy multi-criteria decision making method for technology transfer strategy selection in biotechnology , 1994 .

[37]  Peter Hofmann,et al.  Defuzzification Strategies for Fuzzy Classifications of Remote Sensing Data , 2016, Remote. Sens..

[38]  Lijun Yang,et al.  Particle swarm optimization-least squares support vector regression based forecasting model on dissolved gases in oil-filled power transformers , 2011 .

[39]  Shang-Ling Ou,et al.  Forecasting agricultural output with an improved grey forecasting model based on the genetic algorithm , 2012 .

[40]  Ebrahim H. Mamdani,et al.  An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller , 1999, Int. J. Hum. Comput. Stud..

[41]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[42]  Lazim Abdullah,et al.  Fuzzy Multi Criteria Decision Making and its Applications: A Brief Review of Category , 2013 .