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1

Mordeson, John N., and Premchand S. Nair, eds. Fuzzy Graphs and Fuzzy Hypergraphs. Heidelberg: Physica-Verlag HD, 2000. http://dx.doi.org/10.1007/978-3-7908-1854-3.

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2

Akram, Muhammad. m−Polar Fuzzy Graphs. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-03751-2.

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3

Cao, Tru Hoang. Conceptual Graphs and Fuzzy Logic. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14087-7.

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4

Akram, Muhammad, Musavarah Sarwar, and Wieslaw A. Dudek. Graphs for the Analysis of Bipolar Fuzzy Information. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8756-6.

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5

Cao, Tru. Conceptual graphs and fuzzy logic: A fusion for representing and reasoning with linguistic information. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2010.

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6

Mathew, Sunil, John N. Mordeson, and Davender S. Malik. Fuzzy Graph Theory. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71407-3.

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7

Pal, Madhumangal, Sovan Samanta, and Ganesh Ghorai. Modern Trends in Fuzzy Graph Theory. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8803-7.

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8

Mordeson, John N., and Sunil Mathew. Advanced Topics in Fuzzy Graph Theory. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-04215-8.

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9

Mordeson, John N., Sunil Mathew, and Davender S. Malik. Fuzzy Graph Theory with Applications to Human Trafficking. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76454-2.

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10

Fuzzy baseball. New York: Papercutz, 2016.

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11

Jared, Hodges, and Carbajal Jennifer, eds. Peach fuzz. Hamburg [Germany]: Tokyopop, 2006.

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12

Jared, Hodges, ed. Peach Fuzz. Edina: Spotlight, 2008.

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13

Jared, Hodges, ed. Peach fuzz. Hamburg: Tokyopop, 2005.

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14

Kandasamy, W. B. Vasantha. Basic neutrosophic algebraic structures and their application to fuzzy and neutrosophic models. Church Rock [Wash.?]: HEXIS, 2004.

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15

You can't fight crazy: A Get Fuzzy collection. Kansas City, MO: Andrews McMeel Publishing, 2014.

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16

Sam & Fuzzy: Fix your problem. Easthampton, MA: TopatoCo, 2010.

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17

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

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18

Conley, Darby. Jerktastic Park: A Get Fuzzy treasury. Kansas City, MO: Andrews McMeel Publishing, 2014.

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19

Benjamin Bear in Fuzzy thinking: A Toon book. New York: Toon Books, 2011.

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20

Kim, Thompson, ed. Fuzz & Pluck: Splitsville. Seattle, WA: Fantagraphics, 2008.

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21

Rao, R. Venkata. Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4375-8.

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22

Miller, Marvin Lewis. Improvement of JANUS target acquisition using a fuzzy logic human factors model. Monterey, Calif: Naval Postgraduate School, 1994.

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23

Graphical belief modeling. London: Chapman & Hall, 1995.

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24

IEEE International Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems (2004 Boston, Mass.). 2004 IEEE International Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems: (VECIMS) : July 12-14, 2004, Boston, MA. Piscataway, N.J: IEEE, 2004.

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25

IEEE, International Symposium on Virtual Environments Human-Computer Interfaces and Measurement Systems (2007 Ostuni Italy). 2007 IEEE International Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems : 25-27 June, 2007, Ostuni, Italy. Piscataway, New Jersey: IEEE, 2007.

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26

IEEE International Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems (2003 Lugano, Switzerland). VECIMS'03: 2003 IEEE International Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems : Università della Svizzera Italiana, Lugano, Switzerland, 17-29 July, 2003. Piscataway, New Jersey: IEEE, 2003.

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27

Lee, Geuk. Convergence and Hybrid Information Technology: 6th International Conference, ICHIT 2012, Daejeon, Korea, August 23-25, 2012. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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28

Mordeson, John N., and Premchand S. Nair. Fuzzy Graphs and Fuzzy Hypergraphs. Physica-Verlag, 2012.

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29

Fuzzy Graphs And Fuzzy Hypergraphs. Physica-Verlag HD, 2010.

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30

Fuzzy Graphs and Fuzzy Hypergraphs (Studies in Fuzziness and Soft Computing). Physica-Verlag Heidelberg, 2000.

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31

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

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32

Akram, Muhammad, Wieslaw A. Dudek, and Musavarah Sarwar. Graphs for the Analysis of Bipolar Fuzzy Information. Springer Singapore Pte. Limited, 2020.

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33

Akram, Muhammad, Wieslaw A. Dudek, and Musavarah Sarwar. Graphs for the Analysis of Bipolar Fuzzy Information. Springer Singapore Pte. Limited, 2021.

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34

Cao, Tru Hoang. Conceptual Graphs and Fuzzy Logic: A Fusion for Representing and Reasoning with Linguistic Information. Springer London, Limited, 2010.

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35

Cao, Tru Hoang. Conceptual Graphs and Fuzzy Logic: A Fusion for Representing and Reasoning with Linguistic Information. Springer, 2010.

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36

Cao, Tru Hoang. Conceptual Graphs and Fuzzy Logic: A Fusion for Representing and Reasoning with Linguistic Information. Springer, 2012.

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37

Mordeson, John N., Sunil Mathew, and Davender S. Malik. Fuzzy Graph Theory. Springer International Publishing AG, 2018.

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38

Mordeson, John N., Sunil Mathew, and Davender S. Malik. Fuzzy Graph Theory. Springer, 2019.

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39

Levin, Frank S. The Hydrogen Atom and Its Colorful Photons. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198808275.003.0010.

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The energies, kets and wave functions obtained from the Schrödinger equation for the hydrogen atom are examined in Chapter 9. Three quantum numbers are identified. The energies turn out to be the same as in the Bohr model, and an energy-level diagram appropriate to the quantum description is constructed. Graphs of the probability distributions are interpreted as the electron being in a “cloud” around the proton, rather than at a fixed position: the atom is fuzzy, not sharp-edged. The wavelengths of the five photons of the Balmer series are shown to be in the visible range. These photons are emitted when electrons transition from higher-excited states to the second lowest one, which means that electronic-type transitions underlie the presence of colors in our visible environment. The non-collapse of the atom, required by classical physics, is shown to arise from the structure of Schrödinger’s equation.
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40

Pal, Madhumangal, Sovan Samanta, and Ganesh Ghorai. Modern Trends in Fuzzy Graph Theory. Springer Singapore Pte. Limited, 2020.

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41

Mordeson, John N., and Sunil Mathew. Advanced Topics in Fuzzy Graph Theory. Springer, 2019.

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42

Pal, Madhumangal, Sovan Samanta, and Ganesh Ghorai. Modern Trends in Fuzzy Graph Theory. Springer Singapore Pte. Limited, 2021.

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43

Satyanarayana, Bhavanari, and Kuncham Syam Prasad. Near Rings, Fuzzy Ideals, and Graph Theory. Taylor & Francis Group, 2013.

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44

Satyanarayana, Bhavanari, and Kuncham Syam Prasad. Near Rings, Fuzzy Ideals, and Graph Theory. Taylor & Francis Group, 2013.

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45

Near Rings Fuzzy Ideals and Graph Theory. CRC Press, 2013.

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46

Satyanarayana, Bhavanari. Near Rings, Fuzzy Ideals, and Graph Theory. Taylor & Francis Group, 2013.

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47

Satyanarayana, Bhavanari, and Kuncham Syam Prasad. Near Rings, Fuzzy Ideals, and Graph Theory. Chapman and Hall/CRC, 2013. http://dx.doi.org/10.1201/b14934.

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48

Satyanarayana, Bhavanari, and Kuncham Syam Prasad. Near Rings Fuzzy Ideals and Graph Theory. Taylor & Francis Group, 2019.

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49

Mordeson, John N. Fuzzy Graph Theory with Applications to Human Trafficking. Springer, 2019.

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50

Mordeson, John N., Sunil Mathew, and Davender S. Malik. Fuzzy Graph Theory with Applications to Human Trafficking. Springer, 2018.

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