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On Structuring of the Space of Needs in the Framework of Fuzzy Sets Theory

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Part of the Lecture Notes in Computer Science book series (LNAI,volume 7653)

Abstract

The article is focused on consumer’s needs modeling. Authors develop and describe a theoretical model based on Maslow’s needs hierarchy. Presented approach allows to compare consumers, represented by vectors of needs. Consumers’ preferences are described in the framework of fuzzy sets theory. Authors apply a measure of consumers’ dissimilarity. We suggest how large groups of individuals can be compared and how such space can be structured. The goal of this paper is to present our current research directions, with special interest paid to issues, which emerge, while we were discussing the concept of similarity relation between consumers. Formal description utilizes standard and well-known mathematical operators. The greatest attention is paid to our model application. The originality of our idea is in the interpretation and formal description of human needs, treated as a groundwork of the decision making process. In contrast to existing theories and models, we believe that explaining human behavior must consider the most basic level, which are needs.

Keywords

  • consumer needs
  • fuzzy sets
  • consumers dissimilarity

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References

  1. Frankl, V.: Man’s Search for Meaning. Beacon Press, Boston (1946)

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  2. Homenda, W., Jastrzebska, A.: Modelling consumer needs. In: Proc. of the 10th International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, SAP PAN (in press)

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  4. Maslow, A.: A Theory of Human Motivation. Psychological Review 50(4) (1943)

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  5. Maslow, A.: Towards a Psychology of Being, 2nd edn. D. Van Nostrand Co., New York (1968)

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© 2012 Springer-Verlag Berlin Heidelberg

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Jastrzebska, A., Homenda, W. (2012). On Structuring of the Space of Needs in the Framework of Fuzzy Sets Theory. In: Nguyen, NT., Hoang, K., Jȩdrzejowicz, P. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2012. Lecture Notes in Computer Science(), vol 7653. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34630-9_16

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  • DOI: https://doi.org/10.1007/978-3-642-34630-9_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34629-3

  • Online ISBN: 978-3-642-34630-9

  • eBook Packages: Computer ScienceComputer Science (R0)