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Journal articles on the topic 'Soft Systems'

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1

Checkland, Peter B. "Soft Systems Methodology." Human Systems Management 8, no. 4 (1989): 273–89. http://dx.doi.org/10.3233/hsm-1989-8405.

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2

Jackson, Ivan F., and David Hosking. "Soft information systems." Journal of Information Technology 5, no. 3 (1990): 141–50. http://dx.doi.org/10.1057/jit.1990.32.

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3

Baldwin, P. R. "Soft billiard systems." Physica D: Nonlinear Phenomena 29, no. 3 (1988): 321–42. http://dx.doi.org/10.1016/0167-2789(88)90034-6.

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4

Jackson, Ivan F., and David Hosking. "Soft Information Systems." Journal of Information Technology 5, no. 3 (1990): 141–50. http://dx.doi.org/10.1177/026839629000500304.

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This paper describes a category of information systems called ‘Soft information systems’. Basically these lie between conventional information systems in which data are well defined, and management support, and decision support systems. A soft system is a system which operates on soft data. Such data cover categories of information such as conjectures, predictions, feelings and opinions and are typically found in systems where there is some element of anticipation of the future. Such systems include career counselling systems, where clients have rather ‘fuzzy’ views of what they might wish to
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5

Yu, GV, T. Chang, and JM White. "Soft tissue anchor systems." Journal of the American Podiatric Medical Association 84, no. 4 (1994): 157–70. http://dx.doi.org/10.7547/87507315-84-4-157.

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The concept of soft tissue attachment and reattachment has been addressed over the years through a variety of surgical techniques. This includes tendons and ligaments that have been detached both surgically and traumatically from their osseous origins or insertions. This study is designed to provide the reader with a comprehensive overview of current commercially available devices. Detailed descriptions of the various devices are provided along with a discussion of the advantages and disadvantages of each. Their application and use in reconstructive foot and ankle surgery are also discussed.
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6

Brown, A. D. "Grounding soft systems research." European Journal of Information Systems 1, no. 6 (1992): 387–96. http://dx.doi.org/10.1057/ejis.1992.16.

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7

Malmsten, Martin. "Soft drug delivery systems." Soft Matter 2, no. 9 (2006): 760. http://dx.doi.org/10.1039/b608348j.

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8

Kirwan, Barry. "Soft systems, hard lessons." Applied Ergonomics 31, no. 6 (2000): 663–78. http://dx.doi.org/10.1016/s0003-6870(00)00041-7.

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9

Song, Qiang, and Antony Satyadas. "Soft systems at Alabama." Fuzzy Sets and Systems 65, no. 2-3 (1994): 328. http://dx.doi.org/10.1016/0165-0114(94)90032-9.

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10

Knauf, A. "On soft billiard systems." Physica D: Nonlinear Phenomena 36, no. 3 (1989): 259–62. http://dx.doi.org/10.1016/0167-2789(89)90084-5.

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11

Georgiou, Ion. "Unravelling soft systems methodology." International Journal of Economics and Business Research 9, no. 4 (2015): 415. http://dx.doi.org/10.1504/ijebr.2015.069680.

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12

Kirk, David. "Hard and soft systems." International Journal of Contemporary Hospitality Management 7, no. 5 (1995): 13–16. http://dx.doi.org/10.1108/09596119510090708.

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13

Stowell, Frank. "Soft systems and research." Kybernetes 38, no. 6 (2009): 879–96. http://dx.doi.org/10.1108/03684920910973144.

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14

Pellerin, Cheryl. "SOFT INTEGRATED ASSEMBLY SYSTEMS." Assembly Automation 12, no. 2 (1992): 31–33. http://dx.doi.org/10.1108/eb004363.

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15

Kim, Young Key, and Won Keun Min. "Full soft sets and full soft decision systems." Journal of Intelligent & Fuzzy Systems 26, no. 2 (2014): 925–33. http://dx.doi.org/10.3233/ifs-130783.

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16

Huaxia, Zhang. "Soft systems methodology and ‘soft’ philosophy of science." Systems Research and Behavioral Science 27, no. 2 (2010): 156–70. http://dx.doi.org/10.1002/sres.1022.

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17

Ozturk, Taha Yasin. "On defining soft spaces by weak soft neighborhood systems." New Trends in Mathematical Science 4, no. 2 (2016): 113. http://dx.doi.org/10.20852/ntmsci.2016217822.

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18

KIJIMA, Kyoichi. "Introduction to Soft Systems Methodology." Journal of Japan Society for Fuzzy Theory and Systems 11, no. 3 (1999): 369–81. http://dx.doi.org/10.3156/jfuzzy.11.3_11.

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19

Bowen, Ken, and Peter Checkland. "Towards a Soft Systems Methodolgoy." Journal of the Operational Research Society 36, no. 9 (1985): 876. http://dx.doi.org/10.2307/2582179.

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20

Gough, T. G., Peter Checkland, and Jim Scholes. "Soft Systems Methodology in Action." Journal of the Operational Research Society 42, no. 9 (1991): 818. http://dx.doi.org/10.2307/2583669.

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21

Toomey, Anne, Elaine Igoe, Amy Winters, Sara Robertson, and Elif Ozden-Yenigun. "Soft Systems Special Issue Editorial." Journal of Textile Design Research and Practice 9, no. 2 (2021): 137–41. http://dx.doi.org/10.1080/20511787.2021.1936953.

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22

Rosenhead, Jonathan. "Soft Systems Methodology in Action." European Journal of Information Systems 1, no. 3 (1991): 215–16. http://dx.doi.org/10.1057/ejis.1991.37.

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23

Bosco, G., G. Montorsi, and S. Benedetto. "Soft decoding in optical systems." IEEE Transactions on Communications 51, no. 8 (2003): 1258–65. http://dx.doi.org/10.1109/tcomm.2003.815055.

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24

Platt, A., and S. Warwick. "Review of soft systems methodology." Industrial Management & Data Systems 95, no. 4 (1995): 19–21. http://dx.doi.org/10.1108/02635579510086698.

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25

Bowen, Ken. "Towards a Soft Systems Methodology." Journal of the Operational Research Society 36, no. 9 (1985): 876–78. http://dx.doi.org/10.1057/jors.1985.156.

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26

Gough, T. G. "Soft Systems Methodology in Action." Journal of the Operational Research Society 42, no. 9 (1991): 818. http://dx.doi.org/10.1057/jors.1991.157.

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27

Kundu, Soumya, Soumitro Banerjee, James Ing, Ekaterina Pavlovskaia, and Marian Wiercigroch. "Singularities in soft-impacting systems." Physica D: Nonlinear Phenomena 241, no. 5 (2012): 553–65. http://dx.doi.org/10.1016/j.physd.2011.11.014.

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28

Lloyd, Bruce. "Soft systems methodology in action." Long Range Planning 24, no. 2 (1991): 123. http://dx.doi.org/10.1016/0024-6301(91)90137-d.

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29

Fernández, J. R., I. Gallego, A. Jiménez-Losada, and M. Ordóñez. "Soft cooperation systems and games." International Journal of General Systems 47, no. 3 (2017): 244–62. http://dx.doi.org/10.1080/03081079.2017.1413099.

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30

Glotzer, Sharon C. "Complex rules for soft systems." Nature Materials 2, no. 11 (2003): 713–14. http://dx.doi.org/10.1038/nmat1008.

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31

Creemers, Mireille. "Soft systems methodology in action." European Journal of Operational Research 50, no. 1 (1991): 101–2. http://dx.doi.org/10.1016/0377-2217(91)90052-w.

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32

YURTSEVEN, Kudret. "Systems Engineering and Soft Systems Methodology : a Review." Doğuş Üniversitesi Dergisi 1, no. 1 (2000): 225–30. http://dx.doi.org/10.31671/dogus.2019.411.

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33

Wei Zhang, C. D'Amours, and A. Yongacoglu. "Soft-input soft-output decorrelating detectors for coded multiuser systems." IEEE Transactions on Signal Processing 53, no. 8 (2005): 2957–60. http://dx.doi.org/10.1109/tsp.2005.850385.

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34

Mészáros, Attila, and József Sárosi. "Soft Robotics." Analecta Technica Szegedinensia 16, no. 1 (2022): 8–13. http://dx.doi.org/10.14232/analecta.2022.1.8-13.

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Widely used robot systems have a rigid base structure that limits the interaction with their environment. Due to the inflexible attachment points, conventional robotic structures can only manipulate objects with their special gripping system. It can be difficult for these systems to grasp objects with different shapes, handle complex surfaces or navigating in a heavily crowded environment. Many of the species observed in nature, like octopuses are able to perform complex sequences of movements using their soft-structured limbs, which are made up entirely of muscle and connective tissue. Resear
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35

Anjan, Mukherjee1 and Ajoy Kanti Das2. "On Fuzzy Soft Multi Set and Its Application in Information Systems." International Journal of Computer-Aided Technologies (IJCAx) 02, Jul (2015): 01–18. https://doi.org/10.5121/ijcax.2015.2303.

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Research on information and communication technologies have been developed rapidly since it can be applied easily to several areas like computer science, medical science, economics, environments, engineering, among other. Applications of soft set theory, especially in information systems have been found paramount importance. Recently, Mukherjee and Das defined some new operations in fuzzy soft multi set theory and show that the De-Morgan’s type of results hold in fuzzy soft multi set theory with respect to these newly defined operations. In this paper, we extend their work and study some
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36

Anjan, Mukherjee1 and Ajoy Kanti Das2. "On Fuzzy Soft Multi Set and Its Application in Information Systems." International Journal of Computer-Aided technologies (IJCAx) 2, no. 3 (2023): 29. https://doi.org/10.5281/zenodo.8256282.

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Research on information and communication technologies have been developed rapidly since it can be applied easily to several areas like computer science, medical science, economics, environments, engineering, among other. Applications of soft set theory, especially in information systems have been found paramount importance. Recently, Mukherjee and Das defined some new operations in fuzzy soft multi set theory and show that the De-Morgan’s type of results hold in fuzzy soft multi set theory with respect to these newly defined operations. In this paper, we extend their work and study some
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37

Wilson, J. M., and F. A. Stowell. "Information Systems Provision: The Contribution of Soft Systems Methodology." Journal of the Operational Research Society 49, no. 3 (1998): 296. http://dx.doi.org/10.2307/3010480.

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38

Gregory, F. H. "Soft systems methodology to information systems: a Wittgensteinian approach." Information Systems Journal 3, no. 3 (1993): 149–68. http://dx.doi.org/10.1111/j.1365-2575.1993.tb00122.x.

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39

Wilson, J. M. "Information Systems Provision: The Contribution of Soft Systems Methodology." Journal of the Operational Research Society 49, no. 3 (1998): 296–97. http://dx.doi.org/10.1057/palgrave.jors.2600011.

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40

Wilson, J. M. "Information Systems Provision: The Contribution of Soft Systems Methodology." Journal of the Operational Research Society 49, no. 3 (1998): 293–97. http://dx.doi.org/10.1038/sj.jors.2600011.

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41

Yamaguchi, Toru. "Soft Computing Applications for Network Systems." IEEJ Transactions on Electronics, Information and Systems 121, no. 2 (2001): 308–10. http://dx.doi.org/10.1541/ieejeiss1987.121.2_308.

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42

Apsite, Indra, Sahar Salehi, and Leonid Ionov. "Materials for Smart Soft Actuator Systems." Chemical Reviews 122, no. 1 (2021): 1349–415. http://dx.doi.org/10.1021/acs.chemrev.1c00453.

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43

Sadiku, Matthew N. O., Chandra M. M. Kotteti, Abayomi Ajayi-Majebi, and Sarhan M. Musa. "Soft Computing in Decision Support Systems." International Journal of Advances in Scientific Research and Engineering 08, no. 02 (2022): 153–58. http://dx.doi.org/10.31695/ijasre.2022.8.2.21.

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44

Furuhashi, Takeshi. "Soft Computing Methodologies for Intelligent Systems." IEEJ Transactions on Industry Applications 118, no. 3 (1998): 280–83. http://dx.doi.org/10.1541/ieejias.118.280.

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45

Svítek, Miroslav. "Quantum informatics and soft systems modeling." Neural Network World 30, no. 2 (2020): 133–44. http://dx.doi.org/10.14311/nnw.2020.30.010.

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46

Nepomuceno, Erivelton G., Priscila F. S. Guedes, Alípio M. Barbosa, Matjaž Perc, and Robert Repnik. "Soft Computing Simulations of Chaotic Systems." International Journal of Bifurcation and Chaos 29, no. 08 (2019): 1950112. http://dx.doi.org/10.1142/s0218127419501128.

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Soft computing strategies are drawing widespread interest in engineering and science fields, particularly so because of their capacity to reason and learn in a domain of inherent uncertainty, approximation, and unpredictability. However, soft computing research devoted to finite precision effects in chaotic system simulations is still in a nascent stage, and there are ample opportunities for new discoveries. In this paper, we consider the error that is due to finite precision in the simulation of chaotic systems. We present a generalized version of the lower bound error using an arbitrary numb
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47

Dorfmann, Luis. "The mechanics of soft biological systems." Mathematics and Mechanics of Solids 18, no. 6 (2013): 559–60. http://dx.doi.org/10.1177/1081286513485796.

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48

Hołyst, Robert. "Some features of soft matter systems." Soft Matter 1, no. 5 (2005): 329. http://dx.doi.org/10.1039/b509105e.

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49

Land, Lucy. "Problem solving using soft systems methodology." British Journal of Nursing 3, no. 2 (1994): 79–83. http://dx.doi.org/10.12968/bjon.1994.3.2.79.

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50

Kennedy, Barbara. "Soft Systems Methodology in Applying Psychology." Australian Psychologist 31, no. 1 (1996): 52–59. http://dx.doi.org/10.1080/00050069608260177.

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