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Books on the topic 'Soft Systems'

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Author: Grafiati
Published: 4 June 2021
Last updated: 9 February 2022

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1

Kowszun, J. Soft-systems methodology. Bristol: The Staff College, 1992.

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2

Zelinka, Ivan, Roman Senkerik, Ganapati Panda, and Padma Suresh Lekshmi Kanthan, eds. Soft Computing Systems. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1936-5.

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3

Brown, Andrew D. Grounding soft systems research. Manchester: Manchester Business School, 1991.

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4

Jim, Scholes, and Checkland Peter, eds. Soft systems methodology in action. Chichester: Wiley, 1999.

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5

Checkland, Peter. Soft systems methodology in action. Chichester, West Sussex, England: Wiley, 1990.

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6

Azvine, Benham, Detlef D. Nauck, and Nader Azarmi, eds. Intelligent Systems and Soft Computing. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/10720181.

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7

Thutupalli, Shashi. Towards Autonomous Soft Matter Systems. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-00735-9.

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8

Rabin, Y., and R. Bruinsma, eds. Soft Order in Physical Systems. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2458-8.

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9

Purohit, Hemant J., Vipin Chandra Kalia, and Ravi Prabhakar More, eds. Soft Computing for Biological Systems. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7455-4.

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10

Rabin, Y. Soft Order in Physical Systems. Boston, MA: Springer US, 1994.

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11

Marriwala, Nikhil, C. C. Tripathi, Shruti Jain, and Shivakumar Mathapathi, eds. Soft Computing for Intelligent Systems. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1048-6.

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12

Information systems provision: The contribution of soft systems methodology. London: McGraw-Hill, 1995.

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13

Michette, Alan G. Optical Systems for Soft X Rays. Boston, MA: Springer US, 1986.

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14

Optical systems for soft X rays. New York: Plenum Press, 1986.

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15

Mirza, Zahida. Soft ware reliability and systems integration. London: University of East London, 1992.

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16

Davies, Lynda. Information in action: Soft systems methodology. London: Macmillan, 1993.

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17

Jain, Lakhmi C., and Toshio Fukuda, eds. Soft Computing for Intelligent Robotic Systems. Heidelberg: Physica-Verlag HD, 1998. http://dx.doi.org/10.1007/978-3-7908-1882-6.

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18

Noah, Shahrul Azman, Azizi Abdullah, Haslina Arshad, Azuraliza Abu Bakar, Zulaiha Ali Othman, Shahnorbanun Sahran, Nazlia Omar, and Zalinda Othman, eds. Soft Computing Applications and Intelligent Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40567-9.

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19

López-Díaz, Miguel, María Á. Gil, Przemysław Grzegorzewski, Olgierd Hryniewicz, and Jonathan Lawry. Soft Methodology and Random Information Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-44465-7.

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20

Castillo, Oscar, Patricia Melin, Janusz Kacprzyk, and Witold Pedrycz, eds. Soft Computing for Hybrid Intelligent Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-70812-4.

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21

Casillas, Jorge, and Francisco J. Martínez-López, eds. Marketing Intelligent Systems Using Soft Computing. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15606-9.

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22

Nicolaidis, Michael, ed. Soft Errors in Modern Electronic Systems. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4419-6993-4.

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23

Michette, Alan G. Optical Systems for Soft X Rays. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4613-2223-8.

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24

Nicolaidis, Michael. Soft errors in modern electronic systems. New York: Springer, 2011.

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25

Jain, Lakhmi C. Soft Computing for Intelligent Robotic Systems. Heidelberg: Physica-Verlag HD, 1998.

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26

Oscar, Castillo, Melin Patricia 1962-, Pedrycz Witold 1953-, and SpringerLink (Online service), eds. Soft Computing for Hybrid Intelligent Systems. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2008.

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27

Bulavin, Leonid, and Nikolai Lebovka, eds. Soft Matter Systems for Biomedical Applications. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-80924-9.

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28

Wen, Wu. Verifying stability of dynamic soft-computing systems. [Washington, DC]: National Aeronautics and Space Administration, 1997.

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29

International Conference on Hybrid Intelligent Systems (2nd 2002 Santiago, Chile). Soft computing systems: Design, management and applications. Amsterdam: IOS, 2002.

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30

Balas, Valentina Emilia. Soft computing based modeling in intelligent systems. Berlin: Springer, 2009.

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31

Advanced School on "Biomechanics of Soft Tissue" (2001 Udine, Italy). Biomechanics of soft tissue in cardiovascular systems. Wien: Springer, 2003.

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32

Malone, Ronald F. Design of recirculating soft crawfish shedding systems. Baton Rouge: Louisiana Sea Grant College Program, Center for Wetland Resources, Louisiana State University, 1988.

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33

Ali, Zilouchian, and Jamshidi Mohammad, eds. Intelligent control systems using soft computing methodologies. Boca Raton, Fla: CRC Press, 2001.

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34

Holzapfel, Gerhard A., and Ray W. Ogden, eds. Biomechanics of Soft Tissue in Cardiovascular Systems. Vienna: Springer Vienna, 2003. http://dx.doi.org/10.1007/978-3-7091-2736-0.

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35

Balas, Valentina Emilia, János Fodor, and Annamária R. Várkonyi-Kóczy, eds. Soft Computing Based Modeling in Intelligent Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00448-3.

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36

Wen, Wu. Verifying stability of dynamic soft-computing systems. [Washington, DC]: National Aeronautics and Space Administration, 1997.

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37

Powell, Wellington St J. Modelling soft, deformable surfaces using particle systems. Manchester: University of Manchester, Department of Computer Science, 1995.

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38

Soft systems methodology: A 30-year retrospective. Chichester: John Wiley, 1999.

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39

Checkland, Peter. Soft systems methodology: A 30-year retrospective. Chichester: John Wiley, 1999.

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40

Virant, Jernej. Design considerations of time in fuzzy systems. Dordrecht: Kluwer Academic Publishers, 2000.

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41

Fernando, Gomide, ed. Fuzzy systems engineering: Toward human-centric computing. Hoboken, N.J: John Wiley, 2007.

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42

Kubota, Naoyuki, Jin-Woo Jung, and Sungshin Kim. Soft computing in intelligent control. Cham: Springer, 2014.

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43

Harrison, J. E. Combining soft systems methodology and select enterprise for systems requirements definition. London: University of East London, 1998.

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44

Dobbin, Trevor J. A soft systems approach to object-oriented analysis. [S.l: The Author], 1999.

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45

Kalogirou, Soteris, Kasthurirangan Gopalakrishnan, and Siddhartha Kumar Khaitan. Soft computing in green and renewable energy systems. Berlin: Springer-Verlag, 2011.

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46

Gopalakrishnan, Kasthurirangan, Halil Ceylan, and Nii O. Attoh-Okine, eds. Intelligent and Soft Computing in Infrastructure Systems Engineering. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04586-8.

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47

Kacprzyk, Janusz, Dimitar Filev, and Gleb Beliakov, eds. Granular, Soft and Fuzzy Approaches for Intelligent Systems. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-40314-4.

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48

Ruan, Da, ed. Fuzzy Systems and Soft Computing in Nuclear Engineering. Heidelberg: Physica-Verlag HD, 2000. http://dx.doi.org/10.1007/978-3-7908-1866-6.

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49

Gopalakrishnan, Kasthurirangan, Siddhartha Kumar Khaitan, and Soteris Kalogirou, eds. Soft Computing in Green and Renewable Energy Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22176-7.

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50

Tettamanzi, Andrea. Soft Computing: Integrating Evolutionary, Neural, and Fuzzy Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001.

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