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Fuzzy Set Theory and the Social Sciences

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Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation (INFUS 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 307))

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Abstract

It is clear that fuzziness in real-world problems is generally related to human beings. But unfortunately, social scientists have been rather late to utilize fuzzy set theory in their complex problems. We know that the individual nature of the mind is fuzzy. But in fact, our social environment is also, in some extend, is fuzzy. Fuzzy sets provide us a mathematical way of modeling to represent vagueness in all kinds of social sciences. Generally, we have many parameters in this type of problem. From deterministic mathematical modeling to probabilistic, from probabilistic to fuzzy, we should be capable of data analysis and having more accurate conclusions.

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References

  1. Russel, B.: The Principles of Mathematics. Georg Allen & Unwin Ltd, NewYork (1964)

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  2. Özok, A.F.: Mathematical philosophy and fuzzy logic. In: Kahraman, C., Cevik Onar, S., Oztaysi, B., Sari, I.U., Cebi, S., Tolga, A.C. (eds.) INFUS 2020. AISC, vol. 1197, pp. 32–35. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-51156-2_5

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  3. Kahraman, C. (ed.): Fuzzy Applications in Industrial Engineering. Springer, Heidelberg (2006)

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Correspondence to Ahmet Fahri Özok .

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Özok, A.F. (2022). Fuzzy Set Theory and the Social Sciences. In: Kahraman, C., Cebi, S., Cevik Onar, S., Oztaysi, B., Tolga, A.C., Sari, I.U. (eds) Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation. INFUS 2021. Lecture Notes in Networks and Systems, vol 307. Springer, Cham. https://doi.org/10.1007/978-3-030-85626-7_22

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