Books on the topic 'Fuzzy Methods'

Siegfried, Gottwald, ed. Fuzzy sets, fuzzy logic, fuzzy methods with applications. Chichester: J. Wiley, 1995.

Statistical methods for fuzzy data. Hoboken, N.J: Wiley, 2010.

Viertl, Reinhard. Statistical Methods for Fuzzy Data. Chichester, UK: John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9780470974414.

Simulating fuzzy systems. Berlin: Springer, 2005.

1929-, Hwang C. L., ed. Fuzzy mathematical programming: Methods and applications. Berlin: Springer-Verlag, 1992.

Buckley, James J., and Leonard J. Jowers. Monte Carlo Methods in Fuzzy Optimization. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-76290-4.

Keung, Lai Kin, and Wang Shouyang 1958-, eds. Fuzzy portfolio optimization: Theory and methods. Berlin: Springer, 2008.

J, Jowers Leonard, and SpringerLink (Online service), eds. Monte Carlo Methods in Fuzzy Optimization. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2008.

Cao, Bing-Yuan. Optimal Models and Methods with Fuzzy Quantities. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2010.

Cao, Bing-Yuan. Optimal Models and Methods with Fuzzy Quantities. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-10712-2.

Arfi, Badredine. Linguistic Fuzzy Logic Methods in Social Sciences. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13343-5.

Kluska, Jasek. Analytical Methods in Fuzzy Modeling and Control. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-89927-3.

Linguistic fuzzy logic methods in social sciences. Berlin, Germany: Springer, 2010.

Analytical methods in fuzzy modeling and control. Berlin: Springer, 2009.

Statistical methods for non-precise data. Boca Raton, Fla: CRC Press, 1996.

Fuzzy logic with engineering applications. 3rd ed. Chichester, U.K: John Wiley, 2010.

Pattern classification: Neuro-fuzzy methods and their comparison. London: Springer, 2001.

Zhang, Xiaolu, and Zeshui Xu. Hesitant Fuzzy Methods for Multiple Criteria Decision Analysis. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-42001-1.

Bloch, Isabelle, and Anca Ralescu. Fuzzy Sets Methods in Image Processing and Understanding. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-19425-2.

1929-, Hwang C. L., and Hwang Frank P, eds. Fuzzy multiple attribute decision making: Methods and applications. Berlin: Springer-Verlag, 1992.

zsef, Sa ndor Jo. Soft econometric modelling: The example of fuzzy methods. Budapest: Karl Marx University of Economics, 1990.

1929-, Hwang C. L., ed. Fuzzy multiple objective decision making: Methods and applications. Berlin: Springer-Verlag, 1994.

author, Perfilieva Irina 1953, and Dvoŕ̌ák Antonín (Mathematician) author, eds. Insight into fuzzy modeling. Hoboken, New Jersey: John Wiley & Sons, Inc., 2016.

United States. National Aeronautics and Space Administration., ed. Fuzzy set methods for object recognition in space applications: Third quarter report. [Houston, Tex.?]: Research Institute for Computing and Information Systems, University of Houston-Clear Lake, 1992.

Keller, James M. Fuzzy set methods for object recognition in space applications: Second quarter report. [Houston, Tex.]: Research Institute for Computing and Information Systems, University of Houston-Clear Lake, 1991.

Keller, James M. Fuzzy set methods for object recognition in space applications: Third quarter report. [Houston, Tex.?]: Research Institute for Computing and Information Systems, University of Houston-Clear Lake, 1992.

United States. National Aeronautics and Space Administration., ed. Fuzzy set methods for object recognition in space applications: Second quarter report. [Houston, Tex.]: Research Institute for Computing and Information Systems, University of Houston-Clear Lake, 1991.

Przemysłav, Grzegorzewski, Hryniewicz Olgierd, and Gil María Á, eds. Soft methods in probability, statistics and data analysis. Heidelberg: Physica-Verlag, 2002.

Soft computing methods in human sciences. Berlin: Springer-Verlag, 2004.

Zhou, Wei, and Zeshui Xu. Qualitative Investment Decision-Making Methods under Hesitant Fuzzy Environments. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-11349-0.

Ebrahimnejad, Ali, and José Luis Verdegay. Fuzzy Sets-Based Methods and Techniques for Modern Analytics. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73903-8.

United States. National Aeronautics and Space Administration., ed. Multi-objective decision-making under uncertainty: Fuzzy logic methods. [Washington, DC]: National Aeronautics and Space Administration, 1994.

United States. National Aeronautics and Space Administration., ed. Multi-objective decision-making under uncertainty: Fuzzy logic methods. [Washington, DC]: National Aeronautics and Space Administration, 1994.

Wyllis, Bandler, ed. Tracing chains-of-thought: Fuzzy methods in cognitive diagnosis. Heidelberg, [Germany]: Physica-Verlag, 1996.

Frank, Höppner, ed. Fuzzy cluster analysis: Methods for classification, data analysis, and image recognition. Chichester ; New York: J. Wiley, 1999.

Miyamoto, Sadaaki. Algorithms for fuzzy clustering: Methods in c-means clustering with applications. Berlin: Springer, 2008.

Cios, Krzysztof J. A comparison of neural networks and fuzzy logic methods for process modeling. [Washington, DC]: National Aeronautics and Space Administration, 1996.

Gonzalez, Claudia I., Patricia Melin, Juan R. Castro, and Oscar Castillo. Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53994-2.

Wołoszyn, Jacek. Grafy rozmyte i możliwości ich wykorzystania w ekonomii. Kraków: Akademia Ekonomiczna w Krakowie, 1990.

Jürgen, Herzberger, and Gesellschaft für Angewandte Mathematik und Mechanik., eds. Inclusion methods for nonlinear problems: With applications in engineering, economics and physics. New York: Springer, 2003.

Viertl, Reinhard. Statistical Methods for Fuzzy Data. Wiley & Sons, Incorporated, John, 2010.

Viertl, Reinhard. Statistical Methods for Fuzzy Data. Wiley & Sons, Limited, John, 2011.

Viertl, Reinhard. Statistical Methods for Fuzzy Data. Wiley & Sons, Incorporated, John, 2011.

Viertl, Reinhard. Statistical Methods for Fuzzy Data. Wiley & Sons, Limited, John, 2010.

Viertl, Reinhard. Statistical Methods for Fuzzy Data. Wiley & Sons, Limited, John, 2011.

Wang, Shouyang, Kin Keung Lai, and Yong Fang. Fuzzy Portfolio Optimization: Theory and Methods. Springer London, Limited, 2008.

Jowers, Leonard J., and James J. J. Buckley. Monte Carlo Methods in Fuzzy Optimization. Springer, 2010.

Hwang, Ching-Lai, and Young-Jou Lai. Fuzzy Mathematical Programming: Methods and Applications. Springer London, Limited, 2012.

Hwang, Ching-Lai, and Young-Jou Lai. Fuzzy Mathematical Programming: Methods and Applications. Springer, 2014.

Akram, Muhammad. m-Polar Fuzzy Graphs: Theory, Methods & Applications. Springer, 2018.